Toutes les publications publiques du CV académique, avec les PDF archivés lorsqu’ils existent. Les titres et les lieux de publication sont dans leur langue d’origine. 85 publications.
Publications choisies
2020
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio · International Conference on Learning Representations
Prévision profonde interprétable ; le plus cité de ces travaux.
@inproceedings{oreshkin2019n,
title = {{N-BEATS: Neural basis expansion analysis for interpretable time series forecasting}},
author = {Boris N. Oreshkin and Dmitri Carpov and Nicolas Chapados and Yoshua Bengio},
year = {2020},
booktitle = {International Conference on Learning Representations},
url = {https://arxiv.org/abs/1905.10437},
}
2024
StarCoder 2 and The Stack v2: The Next Generation
Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian McAuley, Han Hu, Torsten Scholak, Sebastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, Mostofa Patwary, Nima Tajbakhsh, Yacine Jernite, Carlos Muñoz Ferrandis, Lingming Zhang, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries · BigCode Project Technical Report
Modèles de code ouverts et leurs données d’entraînement, avec la communauté BigCode.
@misc{lozhkov2024starcoder2,
title = {{StarCoder 2 and The Stack v2: The Next Generation}},
author = {Anton Lozhkov and Raymond Li and Loubna Ben Allal and Federico Cassano and Joel Lamy-Poirier and Nouamane Tazi and Ao Tang and Dmytro Pykhtar and Jiawei Liu and Yuxiang Wei and Tianyang Liu and Max Tian and Denis Kocetkov and Arthur Zucker and Younes Belkada and Zijian Wang and Qian Liu and Dmitry Abulkhanov and Indraneil Paul and Zhuang Li and Wen-Ding Li and Megan Risdal and Jia Li and Jian Zhu and Terry Yue Zhuo and Evgenii Zheltonozhskii and Nii Osae Osae Dade and Wenhao Yu and Lucas Krauß and Naman Jain and Yixuan Su and Xuanli He and Manan Dey and Edoardo Abati and Yekun Chai and Niklas Muennighoff and Xiangru Tang and Muhtasham Oblokulov and Christopher Akiki and Marc Marone and Chenghao Mou and Mayank Mishra and Alex Gu and Binyuan Hui and Tri Dao and Armel Zebaze and Olivier Dehaene and Nicolas Patry and Canwen Xu and Julian McAuley and Han Hu and Torsten Scholak and Sebastien Paquet and Jennifer Robinson and Carolyn Jane Anderson and Nicolas Chapados and Mostofa Patwary and Nima Tajbakhsh and Yacine Jernite and Carlos Muñoz Ferrandis and Lingming Zhang and Sean Hughes and Thomas Wolf and Arjun Guha and Leandro von Werra and Harm de Vries},
year = {2024},
howpublished = {BigCode Project Technical Report},
url = {https://arxiv.org/abs/2402.19173},
}
2024
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau, Nicolas Chapados, Siva Reddy · First Conference on Language Modeling (COLM 2024)
Transformer des modèles de langue à décodeur en encodeurs de texte performants.
@inproceedings{behnamghader2024llm2vec,
title = {{LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders}},
author = {Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},
year = {2024},
booktitle = {First Conference on Language Modeling (COLM 2024)},
url = {https://openreview.net/forum?id=IW1PR7vEBf},
}
2024
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vázquez, Nicolas Chapados, Alexandre Lacoste · Proceedings of the 41st International Conference on Machine Learning (ICML 2024)
Évaluer des agents web sur de vraies tâches de travail intellectuel.
@inproceedings{drouin2024workarena,
title = {{WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?}},
author = {Alexandre Drouin and Maxime Gasse and Massimo Caccia and Issam H. Laradji and Manuel Del Verme and Tom Marty and David Vázquez and Nicolas Chapados and Alexandre Lacoste},
year = {2024},
booktitle = {Proceedings of the 41st International Conference on Machine Learning (ICML 2024)},
url = {https://proceedings.mlr.press/v235/drouin24a.html},
}
2023
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Hena Ghonia, Rishika Bhagwatkar, Arian Khorasani, Mohammad Javad Darvishi Bayazi, George Adamopoulos, Roland Riachi, Nadhir Hassen, Marin Biloš, Sahil Garg, Anderson Schneider, Nicolas Chapados, Alexandre Drouin, Valentina Zantedeschi, Yuriy Nevmyvaka, Irina Rish · NeurIPS 2023 Workshop on Robustness of Few-shot and Zero-shot Learning in Large Foundation Models (R0-FoMo)
Un modèle de fondation pour la prévision probabiliste de séries temporelles.
@inproceedings{rasul2023laglama,
title = {{Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting}},
author = {Kashif Rasul and Arjun Ashok and Andrew Robert Williams and Hena Ghonia and Rishika Bhagwatkar and Arian Khorasani and Mohammad Javad Darvishi Bayazi and George Adamopoulos and Roland Riachi and Nadhir Hassen and Marin Biloš and Sahil Garg and Anderson Schneider and Nicolas Chapados and Alexandre Drouin and Valentina Zantedeschi and Yuriy Nevmyvaka and Irina Rish},
year = {2023},
booktitle = {NeurIPS 2023 Workshop on Robustness of Few-shot and Zero-shot Learning in Large Foundation Models (R0-FoMo)},
url = {https://openreview.net/forum?id=jYluzCLFDM},
}
2016
HeMIS: Hetero-Modal Image Segmentation
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio · Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Lecture Notes in Computer Science, vol. 9901
Segmenter des images médicales lorsque des modalités manquent.
@incollection{Havaei2016,
title = {{HeMIS: Hetero-Modal Image Segmentation}},
author = {Mohammad Havaei and Nicolas Guizard and Nicolas Chapados and Yoshua Bengio},
year = {2016},
howpublished = {Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Lecture Notes in Computer Science, vol. 9901},
url = {https://arxiv.org/abs/1607.05194},
}
2022
TACTiS: Transformer-Attentional Copulas for Time Series
Alexandre Drouin, Étienne Marcotte, Nicolas Chapados · Proceedings of the 39th International Conference on Machine Learning
Les copules rencontrent les transformeurs pour la prévision multivariée.
@inproceedings{pmlr-v162-drouin22a,
title = {{TACTiS: Transformer-Attentional Copulas for Time Series}},
author = {Alexandre Drouin and Étienne Marcotte and Nicolas Chapados},
year = {2022},
booktitle = {Proceedings of the 39th International Conference on Machine Learning},
url = {https://proceedings.mlr.press/v162/drouin22a.html},
}
2025
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin · Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)
Prévoir avec le contexte textuel dont disposent vraiment les praticiens.
@inproceedings{williams2025cik,
title = {{Context is Key: A Benchmark for Forecasting with Essential Textual Information}},
author = {Andrew Robert Williams and Arjun Ashok and Étienne Marcotte and Valentina Zantedeschi and Jithendaraa Subramanian and Roland Riachi and James Requeima and Alexandre Lacoste and Irina Rish and Nicolas Chapados and Alexandre Drouin},
year = {2025},
booktitle = {Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)},
url = {https://proceedings.mlr.press/v267/williams25a.html},
}
Livres et chapitres de livres
2023
Explaining Explainable AI
Richard Zuroff, Nicolas Chapados · Artificial Intelligence in Finance: Challenges, Opportunities and Regulatory Developments
@inbook{AIIF:EEAI,
title = {{Explaining Explainable AI}},
author = {Richard Zuroff and Nicolas Chapados},
year = {2023},
howpublished = {Artificial Intelligence in Finance: Challenges, Opportunities and Regulatory Developments},
doi = {10.4337/9781803926179.00010},
url = {https://doi.org/10.4337/9781803926179.00010},
}
2018
Information Fusion in Deep Convolutional Neural Networks for Biomedical Image Segmentation
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio · Signal Processing and Machine Learning for Biomedical Big Data
@inbook{BSPBD:IFDC:2019,
title = {{Information Fusion in Deep Convolutional Neural Networks for Biomedical Image Segmentation}},
author = {Mohammad Havaei and Nicolas Guizard and Nicolas Chapados and Yoshua Bengio},
year = {2018},
howpublished = {Signal Processing and Machine Learning for Biomedical Big Data},
url = {https://doi.org/10.1201/9781351061223-15},
}
2011
Portfolio Choice Problems: an Introductory Survey of Single and Multiperiod Models
@book{C:PCP:2011,
title = {{Portfolio Choice Problems: an Introductory Survey of Single and Multiperiod Models}},
author = {Nicolas Chapados},
year = {2011},
howpublished = {Springer},
url = {https://doi.org/10.1007/978-1-4614-0577-1},
}
2010
Algorithmes d'apprentissage en gestion de portefeuille: optimisation et combinaison de réseaux de neurones; application à la répartition d'actifs sous contrainte de valeur à risque
Nicolas Chapados · Éditions Universitaires Européennes
BibTeX
@book{C:AAGP:2010,
title = {{Algorithmes d'apprentissage en gestion de portefeuille: optimisation et combinaison de réseaux de neurones; application à la répartition d'actifs sous contrainte de valeur à risque}},
author = {Nicolas Chapados},
year = {2010},
howpublished = {Éditions Universitaires Européennes},
}
2003
Statistical Learning Algorithms Applied to Automobile Insurance Ratemaking
Charles Dugas, Yoshua Bengio, Nicolas Chapados, Pascal Vincent, Germain Denoncourt, Christian Fournier · Intelligent Techniques for The Insurance Industry: Theory and Applications
@inproceedings{DBCVDF:SLAAIR:2003,
title = {{Statistical Learning Algorithms Applied to Automobile Insurance Ratemaking}},
author = {Charles Dugas and Yoshua Bengio and Nicolas Chapados and Pascal Vincent and Germain Denoncourt and Christian Fournier},
year = {2003},
booktitle = {Intelligent Techniques for The Insurance Industry: Theory and Applications},
url = {https://portfolioparadigms.com/wp-content/uploads/2009/08/chapter_final.pdf},
}
Articles de revues avec comité de lecture
2026
Beyond Naïve Prompting: Strategies for Improved Context-aided Forecasting with LLMs
Arjun Ashok, Andrew Robert Williams, Vincent Zhihao Zheng, Irina Rish, Nicolas Chapados, Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin · Transactions on Machine Learning Research
@article{ashok2026beyondnaive,
title = {{Beyond Naïve Prompting: Strategies for Improved Context-aided Forecasting with LLMs}},
author = {Arjun Ashok and Andrew Robert Williams and Vincent Zhihao Zheng and Irina Rish and Nicolas Chapados and Étienne Marcotte and Valentina Zantedeschi and Alexandre Drouin},
year = {2026},
journal = {Transactions on Machine Learning Research},
url = {https://openreview.net/forum?id=dkjHHFJkVI},
}
2025
Spaced Scheduling for Large Language Model Training
Amine El Hattami, Nicolas Chapados, Christopher Pal · Transactions on Machine Learning Research
@article{hattami2025spaced,
title = {{Spaced Scheduling for Large Language Model Training}},
author = {Amine El Hattami and Nicolas Chapados and Christopher Pal},
year = {2025},
journal = {Transactions on Machine Learning Research},
url = {https://openreview.net/forum?id=p0KTYl2B9T},
}
2025
The BrowserGym Ecosystem for Web Agent Research
Thibault Le Sellier de Chezelles, Maxime Gasse, Alexandre Drouin, Massimo Caccia, Léo Boisvert, Megh Thakkar, Tom Marty, Rim Assouel, Sahar Omidi Shayegan, Lawrence Keunho Jang, Xing Han Lù, Ori Yoran, Dehan Kong, Frank F. Xu, Siva Reddy, Quentin Cappart, Graham Neubig, Ruslan Salakhutdinov, Nicolas Chapados, Alexandre Lacoste · Transactions on Machine Learning Research
@article{chezelles2025browsergym,
title = {{The BrowserGym Ecosystem for Web Agent Research}},
author = {Thibault Le Sellier de Chezelles and Maxime Gasse and Alexandre Drouin and Massimo Caccia and Léo Boisvert and Megh Thakkar and Tom Marty and Rim Assouel and Sahar Omidi Shayegan and Lawrence Keunho Jang and Xing Han Lù and Ori Yoran and Dehan Kong and Frank F. Xu and Siva Reddy and Quentin Cappart and Graham Neubig and Ruslan Salakhutdinov and Nicolas Chapados and Alexandre Lacoste},
year = {2025},
journal = {Transactions on Machine Learning Research},
url = {https://openreview.net/forum?id=5298fKGmv3},
}
2024
Dynamic Routing and Wavelength Assignment with Reinforcement Learning
Peyman Kafaei, Quentin Cappart, Nicolas Chapados, Hamed Pouya, Louis-Martin Rousseau · INFORMS Journal on Optimization
@article{Kafaei_2024,
title = {{Dynamic Routing and Wavelength Assignment with Reinforcement Learning}},
author = {Peyman Kafaei and Quentin Cappart and Nicolas Chapados and Hamed Pouya and Louis-Martin Rousseau},
year = {2024},
journal = {INFORMS Journal on Optimization},
doi = {10.1287/ijoo.2023.0092},
url = {https://doi.org/10.1287/ijoo.2023.0092},
}
2021
Graph neural networks and deep reinforcement learning for simultaneous beam orientation and trajectory optimization of Cyberknife
Peyman Kafaei, Quentin Cappart, Marc-Andre Renaud, Nicolas Chapados, Louis-Martin Rousseau · Physics in Medicine & Biology
@article{Kafaei_2021,
title = {{Graph neural networks and deep reinforcement learning for simultaneous beam orientation and trajectory optimization of Cyberknife}},
author = {Peyman Kafaei and Quentin Cappart and Marc-Andre Renaud and Nicolas Chapados and Louis-Martin Rousseau},
year = {2021},
journal = {Physics in Medicine & Biology},
doi = {10.1088/1361-6560/ac2bb5},
url = {https://dx.doi.org/10.1088/1361-6560/ac2bb5},
}
2019
Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model
Michael F Byrne, Nicolas Chapados, Florian Soudan, Clemens Oertel, Milagros Linares Perez, Raymond Kelly, Nadeem Iqbal, Florent Chandelier, Douglas K Rex · Gut
@article{Byrnegutjnl-2017-314547,
title = {{Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model}},
author = {Michael F Byrne and Nicolas Chapados and Florian Soudan and Clemens Oertel and Milagros Linares Perez and Raymond Kelly and Nadeem Iqbal and Florent Chandelier and Douglas K Rex},
year = {2019},
journal = {Gut},
doi = {10.1136/gutjnl-2017-314547},
url = {http://gut.bmj.com/content/early/2017/10/24/gutjnl-2017-314547},
}
2014
Retail store scheduling for profit
Nicolas Chapados, Marc Joliveau, Pierre L’Ecuyer, Louis-Martin Rousseau · European Journal of Operational Research
@article{CJER:RSSFP:2014,
title = {{Retail store scheduling for profit}},
author = {Nicolas Chapados and Marc Joliveau and Pierre L’Ecuyer and Louis-Martin Rousseau},
year = {2014},
journal = {European Journal of Operational Research},
doi = {http://dx.doi.org/10.1016/j.ejor.2014.05.033},
url = {http://www.sciencedirect.com/science/article/pii/S0377221714004561},
}
2012
Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine
Yoshua Bengio, Nicolas Chapados, Olivier Delalleau, Christian Hudon, Xavier Saint-Mleux, Hugo Larochelle, Jérôme Louradour · Computational Intelligence
@article{BCDHSLL:DC:2012,
title = {{Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine}},
author = {Yoshua Bengio and Nicolas Chapados and Olivier Delalleau and Christian Hudon and Xavier Saint-Mleux and Hugo Larochelle and Jérôme Louradour},
year = {2012},
journal = {Computational Intelligence},
url = {https://doi.org/10.1111/j.1467-8640.2012.00419.x},
}
2011
A High-Order Feature Synthesis and Selection Algorithm Applied to Insurance Risk Modelling
Charles Dugas, Nicolas Chapados, Réjean Ducharme, Xavier Saint-Mleux, Pascal Vincent · International Journal of Business Intelligence and Data Mining
@article{DCDSV:HOFS:2011,
title = {{A High-Order Feature Synthesis and Selection Algorithm Applied to Insurance Risk Modelling}},
author = {Charles Dugas and Nicolas Chapados and Réjean Ducharme and Xavier Saint-Mleux and Pascal Vincent},
year = {2011},
journal = {International Journal of Business Intelligence and Data Mining},
url = {https://doi.org/10.1504/ijbidm.2011.041957},
}
2007
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Nicolas Chapados, Yoshua Bengio · Journal of Computers
@article{CB:NKBPADP:2007,
title = {{Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2007},
journal = {Journal of Computers},
url = {https://doi.org/10.4304/jcp.2.1.12-19},
}
2003
Extensions to Metric-Based Model Selection
Yoshua Bengio, Nicolas Chapados · Journal of Machine Learning Research
@article{BC:EMBMS:2003,
title = {{Extensions to Metric-Based Model Selection}},
author = {Yoshua Bengio and Nicolas Chapados},
year = {2003},
journal = {Journal of Machine Learning Research},
url = {https://www.jmlr.org/papers/volume3/bengio03b/bengio03b.pdf},
}
2001
Cost Functions and Model Combination for VaR-Based Asset Allocation Using Neural Networks
Nicolas Chapados, Yoshua Bengio · IEEE Transactions on Neural Networks
@article{CB:CFMC:2001,
title = {{Cost Functions and Model Combination for VaR-Based Asset Allocation Using Neural Networks}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2001},
journal = {IEEE Transactions on Neural Networks},
url = {https://doi.org/10.1109/72.935098},
}
Actes de conférences avec comité de lecture
2026
DRBench: A Realistic Benchmark for Enterprise Deep Research
Amirhossein Abaskohi, Tianyi Chen, Miguel Muñoz-Mármol, Curtis Fox, Amrutha Varshini Ramesh, Étienne Marcotte, Xing Han Lù, Nicolas Chapados, Spandana Gella, Christopher Pal, Alexandre Drouin, Issam H. Laradji · International Conference on Learning Representations (ICLR 2026)
@inproceedings{abaskohi2026drbench,
title = {{DRBench: A Realistic Benchmark for Enterprise Deep Research}},
author = {Amirhossein Abaskohi and Tianyi Chen and Miguel Muñoz-Mármol and Curtis Fox and Amrutha Varshini Ramesh and Étienne Marcotte and Xing Han Lù and Nicolas Chapados and Spandana Gella and Christopher Pal and Alexandre Drouin and Issam H. Laradji},
year = {2026},
booktitle = {International Conference on Learning Representations (ICLR 2026)},
url = {https://openreview.net/forum?id=IGYQ4c92e2},
}
2026
Grounding Computer Use Agents on Human Demonstrations
Aarash Feizi, Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Kaixin Li, Rabiul Awal, Xing Han Lù, Johan S. Obando-Ceron, Juan A. Rodríguez, Nicolas Chapados, David Vázquez, Adriana Romero-Soriano, Reihaneh Rabbany, Perouz Taslakian, Christopher Pal, Spandana Gella, Sai Rajeswar · International Conference on Learning Representations (ICLR 2026)
@inproceedings{feizi2026grounding,
title = {{Grounding Computer Use Agents on Human Demonstrations}},
author = {Aarash Feizi and Shravan Nayak and Xiangru Jian and Kevin Qinghong Lin and Kaixin Li and Rabiul Awal and Xing Han Lù and Johan S. Obando-Ceron and Juan A. Rodríguez and Nicolas Chapados and David Vázquez and Adriana Romero-Soriano and Reihaneh Rabbany and Perouz Taslakian and Christopher Pal and Spandana Gella and Sai Rajeswar},
year = {2026},
booktitle = {International Conference on Learning Representations (ICLR 2026)},
url = {https://openreview.net/forum?id=9WiPZy3Kro},
}
2026
LLM2Vec-Gen: Generative Embeddings from Large Language Models
Parishad BehnamGhader, Vaibhav Adlakha, Fabian David Schmidt, Nicolas Chapados, Marius Mosbach, Siva Reddy · Conference on Language Modeling (COLM 2026)
@inproceedings{behnamghader2026llm2vecgen,
title = {{LLM2Vec-Gen: Generative Embeddings from Large Language Models}},
author = {Parishad BehnamGhader and Vaibhav Adlakha and Fabian David Schmidt and Nicolas Chapados and Marius Mosbach and Siva Reddy},
year = {2026},
booktitle = {Conference on Language Modeling (COLM 2026)},
url = {https://openreview.net/forum?id=beZvWBRRtM},
}
2026
Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain
Léo Boisvert, Abhay Puri, Chandra Kiran Reddy Evuru, Nazanin Mohammadi Sepahvand, Nicolas Chapados, Quentin Cappart, Alexandre Lacoste, Krishnamurthy Dvijotham, Alexandre Drouin, Jason Stanley · Proceedings of the ACM Conference on AI and Agentic Systems (CAIS 2026)
@inproceedings{boisvert2026malice,
title = {{Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain}},
author = {Léo Boisvert and Abhay Puri and Chandra Kiran Reddy Evuru and Nazanin Mohammadi Sepahvand and Nicolas Chapados and Quentin Cappart and Alexandre Lacoste and Krishnamurthy Dvijotham and Alexandre Drouin and Jason Stanley},
year = {2026},
booktitle = {Proceedings of the ACM Conference on AI and Agentic Systems (CAIS 2026)},
doi = {10.1145/3786335.3813166},
url = {https://arxiv.org/abs/2510.05159},
}
2026
Societal Frameworks Can Improve LLM Alignment
Karolina Stańczak, Nicholas Meade, Mehar Bhatia, Hattie Zhou, Konstantin Böttinger, Jeremy Barnes, Jason Stanley, Nicolas Papernot, Nicolas Chapados, Denis Therien, Timothy P. Lillicrap, Ana Marasović, Sylvie Delacroix, Gillian K. Hadfield, Siva Reddy · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT 2026)
@inproceedings{stanczak2026societal,
title = {{Societal Frameworks Can Improve LLM Alignment}},
author = {Karolina Stańczak and Nicholas Meade and Mehar Bhatia and Hattie Zhou and Konstantin Böttinger and Jeremy Barnes and Jason Stanley and Nicolas Papernot and Nicolas Chapados and Denis Therien and Timothy P. Lillicrap and Ana Marasović and Sylvie Delacroix and Gillian K. Hadfield and Siva Reddy},
year = {2026},
booktitle = {Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT 2026)},
doi = {10.1145/3805689.3806486},
url = {https://arxiv.org/abs/2503.00069},
}
2025
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding
Ahmed Masry, Juan A. Rodríguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam Hadj Laradji, David Vázquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar · Advances in Neural Information Processing Systems 38 (NeurIPS 2025)
@inproceedings{masry2025alignvlm,
title = {{AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding}},
author = {Ahmed Masry and Juan A. Rodríguez and Tianyu Zhang and Suyuchen Wang and Chao Wang and Aarash Feizi and Akshay Kalkunte Suresh and Abhay Puri and Xiangru Jian and Pierre-André Noël and Sathwik Tejaswi Madhusudhan and Marco Pedersoli and Bang Liu and Nicolas Chapados and Yoshua Bengio and Enamul Hoque and Christopher Pal and Issam Hadj Laradji and David Vázquez and Perouz Taslakian and Spandana Gella and Sai Rajeswar},
year = {2025},
booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS 2025)},
doi = {10.52202/085713-4875},
url = {https://arxiv.org/abs/2502.01341},
}
2025
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
Juan A. Rodríguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, João Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vázquez, Sai Rajeswar · International Conference on Learning Representations (ICLR 2025)
@inproceedings{rodriguez2025bigdocs,
title = {{BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks}},
author = {Juan A. Rodríguez and Xiangru Jian and Siba Smarak Panigrahi and Tianyu Zhang and Aarash Feizi and Abhay Puri and Akshay Kalkunte and François Savard and Ahmed Masry and Shravan Nayak and Rabiul Awal and Mahsa Massoud and Amirhossein Abaskohi and Zichao Li and Suyuchen Wang and Pierre-André Noël and Mats Leon Richter and Saverio Vadacchino and Shubbam Agarwal and Sanket Biswas and Sara Shanian and Ying Zhang and Noah Bolger and Kurt MacDonald and Simon Fauvel and Sathwik Tejaswi and Srinivas Sunkara and João Monteiro and Krishnamurthy Dj Dvijotham and Torsten Scholak and Nicolas Chapados and Sepideh Kharagani and Sean Hughes and M. Tamer Özsu and Siva Reddy and Marco Pedersoli and Yoshua Bengio and Christopher Pal and Issam H. Laradji and Spandana Gella and Perouz Taslakian and David Vázquez and Sai Rajeswar},
year = {2025},
booktitle = {International Conference on Learning Representations (ICLR 2025)},
url = {https://openreview.net/forum?id=b1ivBPLb1n},
}
2025
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin · Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)
@inproceedings{williams2025cik,
title = {{Context is Key: A Benchmark for Forecasting with Essential Textual Information}},
author = {Andrew Robert Williams and Arjun Ashok and Étienne Marcotte and Valentina Zantedeschi and Jithendaraa Subramanian and Roland Riachi and James Requeima and Alexandre Lacoste and Irina Rish and Nicolas Chapados and Alexandre Drouin},
year = {2025},
booktitle = {Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)},
url = {https://proceedings.mlr.press/v267/williams25a.html},
}
2025
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
Gaurav Sahu, Abhay Puri, Juan A. Rodríguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vázquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam H. Laradji · International Conference on Learning Representations (ICLR 2025)
@inproceedings{sahu2025insightbench,
title = {{InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation}},
author = {Gaurav Sahu and Abhay Puri and Juan A. Rodríguez and Amirhossein Abaskohi and Mohammad Chegini and Alexandre Drouin and Perouz Taslakian and Valentina Zantedeschi and Alexandre Lacoste and David Vázquez and Nicolas Chapados and Christopher Pal and Sai Rajeswar and Issam H. Laradji},
year = {2025},
booktitle = {International Conference on Learning Representations (ICLR 2025)},
url = {https://openreview.net/forum?id=ZGqd0cbBvm},
}
2025
UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction
Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodríguez, Montek Kalsi, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vázquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar · Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)
@inproceedings{nayak2025uivision,
title = {{UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction}},
author = {Shravan Nayak and Xiangru Jian and Kevin Qinghong Lin and Juan A. Rodríguez and Montek Kalsi and Nicolas Chapados and M. Tamer Özsu and Aishwarya Agrawal and David Vázquez and Christopher Pal and Perouz Taslakian and Spandana Gella and Sai Rajeswar},
year = {2025},
booktitle = {Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)},
url = {https://proceedings.mlr.press/v267/nayak25a.html},
}
2024
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau, Nicolas Chapados, Siva Reddy · First Conference on Language Modeling (COLM 2024)
@inproceedings{behnamghader2024llm2vec,
title = {{LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders}},
author = {Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},
year = {2024},
booktitle = {First Conference on Language Modeling (COLM 2024)},
url = {https://openreview.net/forum?id=IW1PR7vEBf},
}
2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian · Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Datasets and Benchmarks Track
@inproceedings{monteiro2024repliqa,
title = {{RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content}},
author = {João Monteiro and Pierre-André Noël and Étienne Marcotte and Sai Rajeswar and Valentina Zantedeschi and David Vázquez and Nicolas Chapados and Christopher Pal and Perouz Taslakian},
year = {2024},
booktitle = {Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Datasets and Benchmarks Track},
doi = {10.52202/079017-0764},
url = {https://arxiv.org/abs/2406.11811},
}
2024
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin · International Conference on Learning Representations (ICLR 2024)
@inproceedings{ashok2024tactis2,
title = {{TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series}},
author = {Arjun Ashok and Étienne Marcotte and Valentina Zantedeschi and Nicolas Chapados and Alexandre Drouin},
year = {2024},
booktitle = {International Conference on Learning Representations (ICLR 2024)},
url = {https://openreview.net/forum?id=xtOydkE1Ku},
}
2024
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vázquez, Nicolas Chapados, Alexandre Lacoste · Proceedings of the 41st International Conference on Machine Learning (ICML 2024)
@inproceedings{drouin2024workarena,
title = {{WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?}},
author = {Alexandre Drouin and Maxime Gasse and Massimo Caccia and Issam H. Laradji and Manuel Del Verme and Tom Marty and David Vázquez and Nicolas Chapados and Alexandre Lacoste},
year = {2024},
booktitle = {Proceedings of the 41st International Conference on Machine Learning (ICML 2024)},
url = {https://proceedings.mlr.press/v235/drouin24a.html},
}
2024
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier de Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin · Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Datasets and Benchmarks Track
@inproceedings{boisvert2024workarenapp,
title = {{WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks}},
author = {Léo Boisvert and Megh Thakkar and Maxime Gasse and Massimo Caccia and Thibault Le Sellier de Chezelles and Quentin Cappart and Nicolas Chapados and Alexandre Lacoste and Alexandre Drouin},
year = {2024},
booktitle = {Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Datasets and Benchmarks Track},
doi = {10.52202/079017-0195},
url = {https://arxiv.org/abs/2407.05291},
}
2024
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian · Findings of the Association for Computational Linguistics: EMNLP 2024
@inproceedings{monteiro2024xccache,
title = {{XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference}},
author = {João Monteiro and Étienne Marcotte and Pierre-André Noël and Valentina Zantedeschi and David Vázquez and Nicolas Chapados and Christopher Pal and Perouz Taslakian},
year = {2024},
booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2024},
doi = {10.18653/v1/2024.findings-emnlp.896},
url = {https://aclanthology.org/2024.findings-emnlp.896.pdf},
}
2023
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados · Proceedings of the 40th International Conference on Machine Learning (ICML 2023)
@inproceedings{EtienneMarcotte2023,
title = {{Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts}},
author = {Étienne Marcotte and Valentina Zantedeschi and Alexandre Drouin and Nicolas Chapados},
year = {2023},
booktitle = {Proceedings of the 40th International Conference on Machine Learning (ICML 2023)},
url = {https://proceedings.mlr.press/v202/marcotte23a.html},
}
2022
TACTiS: Transformer-Attentional Copulas for Time Series
Alexandre Drouin, Étienne Marcotte, Nicolas Chapados · Proceedings of the 39th International Conference on Machine Learning
@inproceedings{pmlr-v162-drouin22a,
title = {{TACTiS: Transformer-Attentional Copulas for Time Series}},
author = {Alexandre Drouin and Étienne Marcotte and Nicolas Chapados},
year = {2022},
booktitle = {Proceedings of the 39th International Conference on Machine Learning},
url = {https://proceedings.mlr.press/v162/drouin22a.html},
}
2021
Meta-learning framework with applications to zero-shot time-series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio · Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence
@inproceedings{oreshkin2021a,
title = {{Meta-learning framework with applications to zero-shot time-series forecasting}},
author = {Boris N. Oreshkin and Dmitri Carpov and Nicolas Chapados and Yoshua Bengio},
year = {2021},
booktitle = {Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence},
url = {https://doi.org/10.1609/aaai.v35i10.17115},
}
2020
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio · International Conference on Learning Representations
@inproceedings{oreshkin2019n,
title = {{N-BEATS: Neural basis expansion analysis for interpretable time series forecasting}},
author = {Boris N. Oreshkin and Dmitri Carpov and Nicolas Chapados and Yoshua Bengio},
year = {2020},
booktitle = {International Conference on Learning Representations},
url = {https://arxiv.org/abs/1905.10437},
}
2019
Learning to Learn with Conditional Class Dependencies
Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin · International Conference on Learning Representations
@inproceedings{jiang2018learning,
title = {{Learning to Learn with Conditional Class Dependencies}},
author = {Xiang Jiang and Mohammad Havaei and Farshid Varno and Gabriel Chartrand and Nicolas Chapados and Stan Matwin},
year = {2019},
booktitle = {International Conference on Learning Representations},
url = {https://openreview.net/forum?id=BJfOXnActQ},
}
2018
Real-Time Artificial Intelligence “Full Colonoscopy Workflow” for Automatic Detection Followed by Optical Biopsy of Colorectal Polyps
Michael F. Byrne, Florian Soudan, Milagros Henkel, Clemens Oertel, Nicolas Chapados, Francisco J. Echagüe, Sina Hamidi Ghalehjegh, Nicolas Guizard, Sébastien Giguère, Margaret E. MacPhail, Andrew Sullivan, Florent Chandelier, Douglas K. Rex · Gastrointestinal Endoscopy
@article{Byrne_2018,
title = {{Real-Time Artificial Intelligence “Full Colonoscopy Workflow” for Automatic Detection Followed by Optical Biopsy of Colorectal Polyps}},
author = {Michael F. Byrne and Florian Soudan and Milagros Henkel and Clemens Oertel and Nicolas Chapados and Francisco J. Echagüe and Sina Hamidi Ghalehjegh and Nicolas Guizard and Sébastien Giguère and Margaret E. MacPhail and Andrew Sullivan and Florent Chandelier and Douglas K. Rex},
year = {2018},
journal = {Gastrointestinal Endoscopy},
doi = {10.1016/j.gie.2018.04.2037},
url = {https://doi.org/10.1016/j.gie.2018.04.2037},
}
2017
Artificial Intelligence (AI) in Endoscopy–-Deep Learning for Optical Biopsy of Colorectal Polyps in Real-Time on Unaltered Endoscopic Videos
Michael F. Byrne, Nicolas Chapados, Florian Soudan, Clemens Oertel, Milagros L. Linares Pérez, Raymond Kelly, Nadeem Iqbal, Florent Chandelier, Douglas K. Rex · Gastrointestinal Endoscopy
@article{Byrne_2017,
title = {{Artificial Intelligence (AI) in Endoscopy–-Deep Learning for Optical Biopsy of Colorectal Polyps in Real-Time on Unaltered Endoscopic Videos}},
author = {Michael F. Byrne and Nicolas Chapados and Florian Soudan and Clemens Oertel and Milagros L. Linares Pérez and Raymond Kelly and Nadeem Iqbal and Florent Chandelier and Douglas K. Rex},
year = {2017},
journal = {Gastrointestinal Endoscopy},
doi = {10.1016/j.gie.2017.03.843},
url = {https://doi.org/10.1016/j.gie.2017.03.843},
}
2017
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance
Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados · Medical Image Computing and Computer-Assisted Intervention (MICCAI 2017). Lecture Notes in Computer Science, vol. 10435
@incollection{Jesson2017,
title = {{CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance}},
author = {Andrew Jesson and Nicolas Guizard and Sina Hamidi Ghalehjegh and Damien Goblot and Florian Soudan and Nicolas Chapados},
year = {2017},
howpublished = {Medical Image Computing and Computer-Assisted Intervention (MICCAI 2017). Lecture Notes in Computer Science, vol. 10435},
doi = {10.1007/978-3-319-66179-7_73},
url = {https://doi.org/10.1007/978-3-319-66179-7_73},
}
2016
Artificial Intelligence (Ai) In Endoscopy–Deep Learning For Optical Biopsy Of Colorectal Polyps In Real-Time On Unaltered Endoscopic Videos
Michael F. Byrne, Douglas K. Rex, Nicolas Chapados, Florian Soudan, Clemens Oertel, Milagros Linares Perez, R. Kelly, N. Iqbal, Florent Chandelier · United European Gastroenterology Journal
@inproceedings{Byrne2016,
title = {{Artificial Intelligence (Ai) In Endoscopy–Deep Learning For Optical Biopsy Of Colorectal Polyps In Real-Time On Unaltered Endoscopic Videos}},
author = {Michael F. Byrne and Douglas K. Rex and Nicolas Chapados and Florian Soudan and Clemens Oertel and Milagros Linares Perez and R. Kelly and N. Iqbal and Florent Chandelier},
year = {2016},
booktitle = {United European Gastroenterology Journal},
doi = {10.1177/2050640616663688},
url = {http://journals.sagepub.com/doi/10.1177/2050640616663688},
}
2016
Automated Segmentation of Liver Metastases with Deep Convolutional Neural Networks
Eugene Vorontsov, Gabriel Chartrand, Olina Dagher, Vi Thuy Tran, Mathieu Flamand, Aline Khatchikian, Amine Smouk, Nicolas Siron, Anne-Catherine Maynard-Paquette, David Roy, Nicolas Chapados, Simon Turcotte, Real Lapointe, Franck Vandenbroucke-Menu, Bich Nguyen, Christopher Pal, Samuel Kadoury, An Tang · Radiological Society of North America 2016 Scientific Assembly and Annual Meeting
BibTeX
@inproceedings{Vorontsov2016,
title = {{Automated Segmentation of Liver Metastases with Deep Convolutional Neural Networks}},
author = {Eugene Vorontsov and Gabriel Chartrand and Olina Dagher and Vi Thuy Tran and Mathieu Flamand and Aline Khatchikian and Amine Smouk and Nicolas Siron and Anne-Catherine Maynard-Paquette and David Roy and Nicolas Chapados and Simon Turcotte and Real Lapointe and Franck Vandenbroucke-Menu and Bich Nguyen and Christopher Pal and Samuel Kadoury and An Tang},
year = {2016},
booktitle = {Radiological Society of North America 2016 Scientific Assembly and Annual Meeting},
}
2016
HeMIS: Hetero-Modal Image Segmentation
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio · Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Lecture Notes in Computer Science, vol. 9901
@incollection{Havaei2016,
title = {{HeMIS: Hetero-Modal Image Segmentation}},
author = {Mohammad Havaei and Nicolas Guizard and Nicolas Chapados and Yoshua Bengio},
year = {2016},
howpublished = {Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Lecture Notes in Computer Science, vol. 9901},
url = {https://arxiv.org/abs/1607.05194},
}
2014
Effective Bayesian Modeling of Groups of Related Count Time Series
Nicolas Chapados · Journal of Machine Learning Research, Workshop and Conference Proceedings
@inproceedings{C:EBMGRCTS:2014,
title = {{Effective Bayesian Modeling of Groups of Related Count Time Series}},
author = {Nicolas Chapados},
year = {2014},
booktitle = {Journal of Machine Learning Research, Workshop and Conference Proceedings},
url = {https://proceedings.mlr.press/v32/chapados14.html},
}
2011
Retail Store Workforce Scheduling by Expected Operating Income Maximization
Nicolas Chapados, Marc Joliveau, Louis-Martin Rousseau · Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
@inproceedings{CJR:RSWS:2011,
title = {{Retail Store Workforce Scheduling by Expected Operating Income Maximization}},
author = {Nicolas Chapados and Marc Joliveau and Louis-Martin Rousseau},
year = {2011},
booktitle = {Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems},
url = {https://doi.org/10.1007/978-3-642-21311-3_7},
}
2009
Statistical Machine Learning Algorithms for Target Classification from Acoustic Signature
Vincent Mirelli, Stephen Tenney, Yoshua Bengio, Nicolas Chapados, Olivier Delalleau · Military Sensors and Systems
@inproceedings{MTBCD:SML:2009,
title = {{Statistical Machine Learning Algorithms for Target Classification from Acoustic Signature}},
author = {Vincent Mirelli and Stephen Tenney and Yoshua Bengio and Nicolas Chapados and Olivier Delalleau},
year = {2009},
booktitle = {Military Sensors and Systems},
}
2008
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes
Nicolas Chapados, Yoshua Bengio · Advances in Neural Information Processing Systems 20
@inproceedings{CB:AFTSR:2008,
title = {{Augmented Functional Time Series Representation and Forecasting with Gaussian Processes}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2008},
booktitle = {Advances in Neural Information Processing Systems 20},
url = {https://portfolioparadigms.com/wp-content/uploads/2009/08/gp_spreads_nips07.pdf},
}
2008
Scoring Models for Insurance Risk Sharing Pool Optimization
Nicolas Chapados, Charles Dugas, Pascal Vincent, Réjean Ducharme · Second International Workshop on Domain Driven Data Mining
@inproceedings{CDVD:SMI:2008,
title = {{Scoring Models for Insurance Risk Sharing Pool Optimization}},
author = {Nicolas Chapados and Charles Dugas and Pascal Vincent and Réjean Ducharme},
year = {2008},
booktitle = {Second International Workshop on Domain Driven Data Mining},
url = {https://portfolioparadigms.com/wp-content/uploads/2009/08/icdm2008.pdf},
}
2006
The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization
Nicolas Chapados, Yoshua Bengio · Advances in Artificial Intelligence, Proceedings of the 19th Conference of the Canadian Society for Computational Studies of Intelligence
@inproceedings{CB:KBP:2006,
title = {{The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2006},
booktitle = {Advances in Artificial Intelligence, Proceedings of the 19th Conference of the Canadian Society for Computational Studies of Intelligence},
url = {https://portfolioparadigms.com/wp-content/uploads/2009/08/chapados_ai06.pdf},
}
2002
Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference
Nicolas Chapados, Yoshua Bengio, Pascal Vincent, Charles Dugas Joumana Ghosn, Ichiro Takeuchi, Linyan Meng · Advances in Neural Information Processing Systems 14
@inproceedings{CBVGDTM:ECIP:2002,
title = {{Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference}},
author = {Nicolas Chapados and Yoshua Bengio and Pascal Vincent and Charles Dugas Joumana Ghosn and Ichiro Takeuchi and Linyan Meng},
year = {2002},
booktitle = {Advances in Neural Information Processing Systems 14},
url = {https://papers.nips.cc/paper/2001},
}
2002
Metric-Based Model Selection for Time-Series Forecasting
Yoshua Bengio, Nicolas Chapados · Neural Networks for Signal Processing XII
@inproceedings{BC:MBMS:2002,
title = {{Metric-Based Model Selection for Time-Series Forecasting}},
author = {Yoshua Bengio and Nicolas Chapados},
year = {2002},
booktitle = {Neural Networks for Signal Processing XII},
url = {https://doi.org/10.1109/nnsp.2002.1030013},
}
2001
Input Decay: Simple and Effective Soft Variable Selection
Nicolas Chapados, Yoshua Bengio · Proceedings of the IEEE/INNS International Joint Conference on Neural Networks 2001
@inproceedings{CB:ID:2001,
title = {{Input Decay: Simple and Effective Soft Variable Selection}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2001},
booktitle = {Proceedings of the IEEE/INNS International Joint Conference on Neural Networks 2001},
url = {https://doi.org/10.1109/ijcnn.2001.939537},
}
2000
Cost Functions and Model Combination for VaR-Based Asset Allocation Using Neural Networks
Nicolas Chapados, Yoshua Bengio · Computational Finance 2000
@inproceedings{CB:CFMC:2000,
title = {{Cost Functions and Model Combination for VaR-Based Asset Allocation Using Neural Networks}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2000},
booktitle = {Computational Finance 2000},
}
1999
A Mixed-Initiative Natural Dialogue System for Conference Room Reservation
Claudia Pateras, Nicolas Chapados, Remi Kwan, Dominic Lavoie, Réal Tremblay · Proceedings of the EuroSpeech'99 Conference
@inproceedings{PCKLT:MIND:1999,
title = {{A Mixed-Initiative Natural Dialogue System for Conference Room Reservation}},
author = {Claudia Pateras and Nicolas Chapados and Remi Kwan and Dominic Lavoie and Réal Tremblay},
year = {1999},
booktitle = {Proceedings of the EuroSpeech'99 Conference},
url = {https://www.isca-archive.org/eurospeech_1999/pateras99_eurospeech.pdf},
}
Présentations en atelier
2026
SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows
Amine El Hattami, Nicolas Chapados, Christopher Pal · ICML 2026 Workshop on Failure Modes in Agentic AI (FAGEN)
@inproceedings{hattami2026skillnb,
title = {{SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows}},
author = {Amine El Hattami and Nicolas Chapados and Christopher Pal},
year = {2026},
booktitle = {ICML 2026 Workshop on Failure Modes in Agentic AI (FAGEN)},
url = {https://openreview.net/forum?id=zYh5EVYEtq},
}
2025
Silent Sabotage: Injecting Backdoors into AI Agents Through Fine-Tuning
Léo Boisvert, Abhay Puri, Chandra Kiran Reddy Evuru, Joshua Kazdan, Avinandan Bose, Quentin Cappart, Maryam Fazel, Sai Rajeswar, Jason Stanley, Nicolas Chapados, Alexandre Drouin, Krishnamurthy Dj Dvijotham · ICML 2025 Workshop on Computer Use Agents
@inproceedings{boisvert2025silentsabotage,
title = {{Silent Sabotage: Injecting Backdoors into AI Agents Through Fine-Tuning}},
author = {Léo Boisvert and Abhay Puri and Chandra Kiran Reddy Evuru and Joshua Kazdan and Avinandan Bose and Quentin Cappart and Maryam Fazel and Sai Rajeswar and Jason Stanley and Nicolas Chapados and Alexandre Drouin and Krishnamurthy Dj Dvijotham},
year = {2025},
booktitle = {ICML 2025 Workshop on Computer Use Agents},
url = {https://openreview.net/forum?id=RwoMf7YSfD},
}
2025
WebArena Verified: Reliable Evaluation for Web Agents
Amine El Hattami, Megh Thakkar, Nicolas Chapados, Christopher Pal · NeurIPS 2025 Workshop on Scaling Environments for Agents (SEA)
@inproceedings{hattami2025webarenaverified,
title = {{WebArena Verified: Reliable Evaluation for Web Agents}},
author = {Amine El Hattami and Megh Thakkar and Nicolas Chapados and Christopher Pal},
year = {2025},
booktitle = {NeurIPS 2025 Workshop on Scaling Environments for Agents (SEA)},
url = {https://openreview.net/forum?id=94tlGxmqkN},
}
2024
Fine-Tuning Web Agents: It Works, But It's Trickier Than You Think
Massimo Caccia, Megh Thakkar, Léo Boisvert, Thibault Le Sellier de Chezelles, Alexandre Piché, Nicolas Chapados, Alexandre Drouin, Maxime Gasse, Alexandre Lacoste · NeurIPS 2024 Workshop on Open-World Agents
@inproceedings{caccia2024finetuning,
title = {{Fine-Tuning Web Agents: It Works, But It's Trickier Than You Think}},
author = {Massimo Caccia and Megh Thakkar and Léo Boisvert and Thibault Le Sellier de Chezelles and Alexandre Piché and Nicolas Chapados and Alexandre Drouin and Maxime Gasse and Alexandre Lacoste},
year = {2024},
booktitle = {NeurIPS 2024 Workshop on Open-World Agents},
url = {https://openreview.net/forum?id=SkwtxEkst2},
}
2023
Capture the Flag: Uncovering Data Insights with Large Language Models
Issam Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vázquez, Christopher Pal, Alexandre Drouin · NeurIPS 2023 Workshop on Foundation Models for Decision Making
@inproceedings{laradji2023ctf,
title = {{Capture the Flag: Uncovering Data Insights with Large Language Models}},
author = {Issam Laradji and Perouz Taslakian and Sai Rajeswar and Valentina Zantedeschi and Alexandre Lacoste and Nicolas Chapados and David Vázquez and Christopher Pal and Alexandre Drouin},
year = {2023},
booktitle = {NeurIPS 2023 Workshop on Foundation Models for Decision Making},
url = {https://openreview.net/forum?id=fkz5VfJCwo},
}
2023
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Hena Ghonia, Rishika Bhagwatkar, Arian Khorasani, Mohammad Javad Darvishi Bayazi, George Adamopoulos, Roland Riachi, Nadhir Hassen, Marin Biloš, Sahil Garg, Anderson Schneider, Nicolas Chapados, Alexandre Drouin, Valentina Zantedeschi, Yuriy Nevmyvaka, Irina Rish · NeurIPS 2023 Workshop on Robustness of Few-shot and Zero-shot Learning in Large Foundation Models (R0-FoMo)
@inproceedings{rasul2023laglama,
title = {{Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting}},
author = {Kashif Rasul and Arjun Ashok and Andrew Robert Williams and Hena Ghonia and Rishika Bhagwatkar and Arian Khorasani and Mohammad Javad Darvishi Bayazi and George Adamopoulos and Roland Riachi and Nadhir Hassen and Marin Biloš and Sahil Garg and Anderson Schneider and Nicolas Chapados and Alexandre Drouin and Valentina Zantedeschi and Yuriy Nevmyvaka and Irina Rish},
year = {2023},
booktitle = {NeurIPS 2023 Workshop on Robustness of Few-shot and Zero-shot Learning in Large Foundation Models (R0-FoMo)},
url = {https://openreview.net/forum?id=jYluzCLFDM},
}
2023
The Unsolved Challenges of LLMs as Generalist Web Agents: A Case Study
Rim Assouel, Tom Marty, Massimo Caccia, Issam Laradji, Alexandre Drouin, Sai Rajeswar, Hector Palacios, Quentin Cappart, David Vázquez, Nicolas Chapados, Maxime Gasse, Alexandre Lacoste · NeurIPS 2023 Workshop on Foundation Models for Decision Making
@inproceedings{assouel2023unsolved,
title = {{The Unsolved Challenges of LLMs as Generalist Web Agents: A Case Study}},
author = {Rim Assouel and Tom Marty and Massimo Caccia and Issam Laradji and Alexandre Drouin and Sai Rajeswar and Hector Palacios and Quentin Cappart and David Vázquez and Nicolas Chapados and Maxime Gasse and Alexandre Lacoste},
year = {2023},
booktitle = {NeurIPS 2023 Workshop on Foundation Models for Decision Making},
url = {https://openreview.net/forum?id=jt3il4fC5B},
}
2018
Adversarially Learned Mixture Model
Andrew Jesson, Cécile Low-Kam, Florian Soudan, Nicolas Chapados · Theoretical Foundations and Applications of Deep Generative Models, ICML 2018
@inproceedings{TFADGM:ICML:2018,
title = {{Adversarially Learned Mixture Model}},
author = {Andrew Jesson and Cécile Low-Kam and Florian Soudan and Nicolas Chapados},
year = {2018},
booktitle = {Theoretical Foundations and Applications of Deep Generative Models, ICML 2018},
url = {https://arxiv.org/abs/1807.05344},
}
2018
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification
Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados · NeurIPS 2018 Second Workshop on Meta-Learning
@inproceedings{Jiang2018ataml,
title = {{Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification}},
author = {Xiang Jiang and Mohammad Havaei and Gabriel Chartrand and Hassan Chouaib and Thomas Vincent and Andrew Jesson and Nicolas Chapados},
year = {2018},
booktitle = {NeurIPS 2018 Second Workshop on Meta-Learning},
}
2017
Data imputation with latent variable models
Michal Drozdzal, Mohammad Havaei, Chin-Way Huang, Laurent Charlin, Nicolas Chapados, Aaron Courville · Montreal AI Symposium 2017
@inproceedings{DHHCCC:DILVM:2017,
title = {{Data imputation with latent variable models}},
author = {Michal Drozdzal and Mohammad Havaei and Chin-Way Huang and Laurent Charlin and Nicolas Chapados and Aaron Courville},
year = {2017},
booktitle = {Montreal AI Symposium 2017},
url = {https://montrealaisymposium.wordpress.com/mais2017-accepted-papers/},
}
2014
Hierarchical Bayesian State-Space Model for Call Center Arrival Rate Forecasting
Nicolas Chapados, Pierre L’Ecuyer · Journées de l'optimisation 2014
@inproceedings{CL:HBSSM:2014,
title = {{Hierarchical Bayesian State-Space Model for Call Center Arrival Rate Forecasting}},
author = {Nicolas Chapados and Pierre L’Ecuyer},
year = {2014},
booktitle = {Journées de l'optimisation 2014},
}
2011
Stochastic Modeling of Retail Stores for Workforce Management
Nicolas Chapados, Marc Joliveau, Louis-Martin Rousseau · 2011 INFORMS Simulation Society Research Workshop
@inproceedings{CJR:SMRS:2011,
title = {{Stochastic Modeling of Retail Stores for Workforce Management}},
author = {Nicolas Chapados and Marc Joliveau and Louis-Martin Rousseau},
year = {2011},
booktitle = {2011 INFORMS Simulation Society Research Workshop},
}
2010
Non-Parametric Volatility Forecasting with Gaussian Processes
Nicolas Chapados, Christian Dorion · 16th International Conference on Computing in Economics and Finance
@inproceedings{CD:NPVF:2010,
title = {{Non-Parametric Volatility Forecasting with Gaussian Processes}},
author = {Nicolas Chapados and Christian Dorion},
year = {2010},
booktitle = {16th International Conference on Computing in Economics and Finance},
}
2007
Forecasting Commodity Contract Spreads with Gaussian Processes
Nicolas Chapados, Yoshua Bengio · 13th International Conference on Computing in Economics and Finance
@inproceedings{CB:FCCS:2007,
title = {{Forecasting Commodity Contract Spreads with Gaussian Processes}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2007},
booktitle = {13th International Conference on Computing in Economics and Finance},
}
2006
The PLearn Machine Learning Library
Pascal Vincent, Nicolas Chapados · NIPS Workshop on Machine Learning Open Source Software
@inproceedings{VC:PMLL:2006,
title = {{The PLearn Machine Learning Library}},
author = {Pascal Vincent and Nicolas Chapados},
year = {2006},
booktitle = {NIPS Workshop on Machine Learning Open Source Software},
}
2005
The K-Shortest-Paths Approach to Approximate Dynamic Programming
Nicolas Chapados, Yoshua Bengio · NIPS 2005 Workshop on Machine Learning in Finance
@inproceedings{BCDGTV:HDDI:2001,
title = {{High-dimensional data inference for automobile insurance premia estimation}},
author = {Yoshua Bengio and Nicolas Chapados and Charles Dugas and Joumana Ghosn and Ichiro Takeuchi and Pascal Vincent},
year = {2001},
booktitle = {2001 MITACS Annual General Meeting},
}
Thèses
2009
Sequential Machine Learning Approaches for Portfolio Management
@mastersthesis{C:COAA:2000,
title = {{Critères d'optimisation d'algorithmes d'apprentissage en gestion de portefeuille}},
author = {Nicolas Chapados},
year = {2000},
school = {Université de Montréal},
url = {https://portfolioparadigms.com/wp-content/uploads/2009/08/memoire_total.pdf},
}
Documents de travail et rapports techniques
2025
Apriel-1.5-15B-Thinker: Mid-training is all you need
@misc{radhakrishna2025apriel,
title = {{Apriel-1.5-15B-Thinker: Mid-training is all you need}},
author = {Shruthan Radhakrishna and Aman Tiwari and Aanjaneya Shukla and Masoud Hashemi and Rishabh Maheshwary and Shiva Krishna Reddy Malay and Jash Mehta and Pulkit Pattnaik and Saloni Mittal and Khalil Slimi and Kelechi Ogueji and Akintunde Oladipo and Soham Parikh and Oluwanifemi Bamgbose and Toby Liang and Ahmed Masry and Khyati Mahajan and Sai Rajeswar Mudumba and Vikas Yadav and Sathwik Tejaswi Madhusudhan and Torsten Scholak and Sagar Davasam and Srinivas Sunkara and Nicolas Chapados},
year = {2025},
howpublished = {ServiceNow SLAM Lab Technical Report},
url = {https://arxiv.org/abs/2510.01141},
}
2024
StarCoder 2 and The Stack v2: The Next Generation
Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian McAuley, Han Hu, Torsten Scholak, Sebastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, Mostofa Patwary, Nima Tajbakhsh, Yacine Jernite, Carlos Muñoz Ferrandis, Lingming Zhang, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries · BigCode Project Technical Report
@misc{lozhkov2024starcoder2,
title = {{StarCoder 2 and The Stack v2: The Next Generation}},
author = {Anton Lozhkov and Raymond Li and Loubna Ben Allal and Federico Cassano and Joel Lamy-Poirier and Nouamane Tazi and Ao Tang and Dmytro Pykhtar and Jiawei Liu and Yuxiang Wei and Tianyang Liu and Max Tian and Denis Kocetkov and Arthur Zucker and Younes Belkada and Zijian Wang and Qian Liu and Dmitry Abulkhanov and Indraneil Paul and Zhuang Li and Wen-Ding Li and Megan Risdal and Jia Li and Jian Zhu and Terry Yue Zhuo and Evgenii Zheltonozhskii and Nii Osae Osae Dade and Wenhao Yu and Lucas Krauß and Naman Jain and Yixuan Su and Xuanli He and Manan Dey and Edoardo Abati and Yekun Chai and Niklas Muennighoff and Xiangru Tang and Muhtasham Oblokulov and Christopher Akiki and Marc Marone and Chenghao Mou and Mayank Mishra and Alex Gu and Binyuan Hui and Tri Dao and Armel Zebaze and Olivier Dehaene and Nicolas Patry and Canwen Xu and Julian McAuley and Han Hu and Torsten Scholak and Sebastien Paquet and Jennifer Robinson and Carolyn Jane Anderson and Nicolas Chapados and Mostofa Patwary and Nima Tajbakhsh and Yacine Jernite and Carlos Muñoz Ferrandis and Lingming Zhang and Sean Hughes and Thomas Wolf and Arjun Guha and Leandro von Werra and Harm de Vries},
year = {2024},
howpublished = {BigCode Project Technical Report},
url = {https://arxiv.org/abs/2402.19173},
}
2023
Can AI Read the Minds of Corporate Executives?
Nicolas Chapados, Zhenzhen Fan, Ruslan Goyenko, Issam Hadj Laradji, Fred Liu, Chengyu Zhang · Preprint, Available at SSRN
@article{chapados2023can,
title = {{Can AI Read the Minds of Corporate Executives?}},
author = {Nicolas Chapados and Zhenzhen Fan and Ruslan Goyenko and Issam Hadj Laradji and Fred Liu and Chengyu Zhang},
year = {2023},
journal = {Preprint, Available at SSRN},
url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4493166},
}
2018
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification
Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin
@misc{1806.00852,
title = {{On the Importance of Attention in Meta-Learning for Few-Shot Text Classification}},
author = {Xiang Jiang and Mohammad Havaei and Gabriel Chartrand and Hassan Chouaib and Thomas Vincent and Andrew Jesson and Nicolas Chapados and Stan Matwin},
year = {2018},
url = {https://arxiv.org/abs/1806.00852},
}
2013
Volatility Forecasting and Explanatory Variables: A Tractable Bayesian Approach to Stochastic Volatility
Nicolas Chapados, Christian Dorion · Working Paper
@misc{CD:VFEV:2014,
title = {{Volatility Forecasting and Explanatory Variables: A Tractable Bayesian Approach to Stochastic Volatility}},
author = {Nicolas Chapados and Christian Dorion},
year = {2013},
howpublished = {Working Paper},
url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1747945},
}
2009
Forecasting and Trading Commodity Contract Spreads with Gaussian Processes
@misc{C:CACG:2003,
title = {{Comment améliorer la capacité de généralisation des algorithmes d'apprentissage pour la prise de décisions financières}},
author = {Nicolas Chapados},
year = {2003},
howpublished = {Cirano Scientific Series 2003s-20},
url = {https://cirano.qc.ca/files/publications/2003s-20.pdf},
}
2003
SAFIR: a Simple API for Financial Information Requests
Nicolas Chapados · Cirano Scientific Series 2003s-21
@misc{C:SAFIR:2003,
title = {{SAFIR: a Simple API for Financial Information Requests}},
author = {Nicolas Chapados},
year = {2003},
howpublished = {Cirano Scientific Series 2003s-21},
url = {https://cirano.qc.ca/files/publications/2003s-21.pdf},
}
2002
Valorisation d'options par optimisation du Sharpe Ratio
Olivier Bardou, Yoshua Bengio, Nicolas Chapados, Réjean Ducharme · Cirano Scientific Series 2002s-47
@misc{BBCD:VO:2003,
title = {{Valorisation d'options par optimisation du Sharpe Ratio}},
author = {Olivier Bardou and Yoshua Bengio and Nicolas Chapados and Réjean Ducharme},
year = {2002},
howpublished = {Cirano Scientific Series 2002s-47},
url = {https://cirano.qc.ca/files/publications/2002s-47.pdf},
}
2001
Extending Metric-Based Model Selection and Regularization in the Absence of Unlabeled Data
Yoshua Bengio, Nicolas Chapados · Université de Montréal, département d'informatique et de recherche opérationnelle, Technical Report #1200
@misc{BC:EMBMS:2001,
title = {{Extending Metric-Based Model Selection and Regularization in the Absence of Unlabeled Data}},
author = {Yoshua Bengio and Nicolas Chapados},
year = {2001},
howpublished = {Université de Montréal, département d'informatique et de recherche opérationnelle, Technical Report #1200},
}
2026
Beyond Naïve Prompting: Strategies for Improved Context-aided Forecasting with LLMs
Arjun Ashok, Andrew Robert Williams, Vincent Zhihao Zheng, Irina Rish, Nicolas Chapados, Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin · Transactions on Machine Learning Research
@article{ashok2026beyondnaive,
title = {{Beyond Naïve Prompting: Strategies for Improved Context-aided Forecasting with LLMs}},
author = {Arjun Ashok and Andrew Robert Williams and Vincent Zhihao Zheng and Irina Rish and Nicolas Chapados and Étienne Marcotte and Valentina Zantedeschi and Alexandre Drouin},
year = {2026},
journal = {Transactions on Machine Learning Research},
url = {https://openreview.net/forum?id=dkjHHFJkVI},
}
2026
DRBench: A Realistic Benchmark for Enterprise Deep Research
Amirhossein Abaskohi, Tianyi Chen, Miguel Muñoz-Mármol, Curtis Fox, Amrutha Varshini Ramesh, Étienne Marcotte, Xing Han Lù, Nicolas Chapados, Spandana Gella, Christopher Pal, Alexandre Drouin, Issam H. Laradji · International Conference on Learning Representations (ICLR 2026)
@inproceedings{abaskohi2026drbench,
title = {{DRBench: A Realistic Benchmark for Enterprise Deep Research}},
author = {Amirhossein Abaskohi and Tianyi Chen and Miguel Muñoz-Mármol and Curtis Fox and Amrutha Varshini Ramesh and Étienne Marcotte and Xing Han Lù and Nicolas Chapados and Spandana Gella and Christopher Pal and Alexandre Drouin and Issam H. Laradji},
year = {2026},
booktitle = {International Conference on Learning Representations (ICLR 2026)},
url = {https://openreview.net/forum?id=IGYQ4c92e2},
}
2026
Grounding Computer Use Agents on Human Demonstrations
Aarash Feizi, Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Kaixin Li, Rabiul Awal, Xing Han Lù, Johan S. Obando-Ceron, Juan A. Rodríguez, Nicolas Chapados, David Vázquez, Adriana Romero-Soriano, Reihaneh Rabbany, Perouz Taslakian, Christopher Pal, Spandana Gella, Sai Rajeswar · International Conference on Learning Representations (ICLR 2026)
@inproceedings{feizi2026grounding,
title = {{Grounding Computer Use Agents on Human Demonstrations}},
author = {Aarash Feizi and Shravan Nayak and Xiangru Jian and Kevin Qinghong Lin and Kaixin Li and Rabiul Awal and Xing Han Lù and Johan S. Obando-Ceron and Juan A. Rodríguez and Nicolas Chapados and David Vázquez and Adriana Romero-Soriano and Reihaneh Rabbany and Perouz Taslakian and Christopher Pal and Spandana Gella and Sai Rajeswar},
year = {2026},
booktitle = {International Conference on Learning Representations (ICLR 2026)},
url = {https://openreview.net/forum?id=9WiPZy3Kro},
}
2026
LLM2Vec-Gen: Generative Embeddings from Large Language Models
Parishad BehnamGhader, Vaibhav Adlakha, Fabian David Schmidt, Nicolas Chapados, Marius Mosbach, Siva Reddy · Conference on Language Modeling (COLM 2026)
@inproceedings{behnamghader2026llm2vecgen,
title = {{LLM2Vec-Gen: Generative Embeddings from Large Language Models}},
author = {Parishad BehnamGhader and Vaibhav Adlakha and Fabian David Schmidt and Nicolas Chapados and Marius Mosbach and Siva Reddy},
year = {2026},
booktitle = {Conference on Language Modeling (COLM 2026)},
url = {https://openreview.net/forum?id=beZvWBRRtM},
}
2026
Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain
Léo Boisvert, Abhay Puri, Chandra Kiran Reddy Evuru, Nazanin Mohammadi Sepahvand, Nicolas Chapados, Quentin Cappart, Alexandre Lacoste, Krishnamurthy Dvijotham, Alexandre Drouin, Jason Stanley · Proceedings of the ACM Conference on AI and Agentic Systems (CAIS 2026)
@inproceedings{boisvert2026malice,
title = {{Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain}},
author = {Léo Boisvert and Abhay Puri and Chandra Kiran Reddy Evuru and Nazanin Mohammadi Sepahvand and Nicolas Chapados and Quentin Cappart and Alexandre Lacoste and Krishnamurthy Dvijotham and Alexandre Drouin and Jason Stanley},
year = {2026},
booktitle = {Proceedings of the ACM Conference on AI and Agentic Systems (CAIS 2026)},
doi = {10.1145/3786335.3813166},
url = {https://arxiv.org/abs/2510.05159},
}
2026
SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows
Amine El Hattami, Nicolas Chapados, Christopher Pal · ICML 2026 Workshop on Failure Modes in Agentic AI (FAGEN)
@inproceedings{hattami2026skillnb,
title = {{SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows}},
author = {Amine El Hattami and Nicolas Chapados and Christopher Pal},
year = {2026},
booktitle = {ICML 2026 Workshop on Failure Modes in Agentic AI (FAGEN)},
url = {https://openreview.net/forum?id=zYh5EVYEtq},
}
2026
Societal Frameworks Can Improve LLM Alignment
Karolina Stańczak, Nicholas Meade, Mehar Bhatia, Hattie Zhou, Konstantin Böttinger, Jeremy Barnes, Jason Stanley, Nicolas Papernot, Nicolas Chapados, Denis Therien, Timothy P. Lillicrap, Ana Marasović, Sylvie Delacroix, Gillian K. Hadfield, Siva Reddy · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT 2026)
@inproceedings{stanczak2026societal,
title = {{Societal Frameworks Can Improve LLM Alignment}},
author = {Karolina Stańczak and Nicholas Meade and Mehar Bhatia and Hattie Zhou and Konstantin Böttinger and Jeremy Barnes and Jason Stanley and Nicolas Papernot and Nicolas Chapados and Denis Therien and Timothy P. Lillicrap and Ana Marasović and Sylvie Delacroix and Gillian K. Hadfield and Siva Reddy},
year = {2026},
booktitle = {Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT 2026)},
doi = {10.1145/3805689.3806486},
url = {https://arxiv.org/abs/2503.00069},
}
2025
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding
Ahmed Masry, Juan A. Rodríguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam Hadj Laradji, David Vázquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar · Advances in Neural Information Processing Systems 38 (NeurIPS 2025)
@inproceedings{masry2025alignvlm,
title = {{AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding}},
author = {Ahmed Masry and Juan A. Rodríguez and Tianyu Zhang and Suyuchen Wang and Chao Wang and Aarash Feizi and Akshay Kalkunte Suresh and Abhay Puri and Xiangru Jian and Pierre-André Noël and Sathwik Tejaswi Madhusudhan and Marco Pedersoli and Bang Liu and Nicolas Chapados and Yoshua Bengio and Enamul Hoque and Christopher Pal and Issam Hadj Laradji and David Vázquez and Perouz Taslakian and Spandana Gella and Sai Rajeswar},
year = {2025},
booktitle = {Advances in Neural Information Processing Systems 38 (NeurIPS 2025)},
doi = {10.52202/085713-4875},
url = {https://arxiv.org/abs/2502.01341},
}
2025
Apriel-1.5-15B-Thinker: Mid-training is all you need
@misc{radhakrishna2025apriel,
title = {{Apriel-1.5-15B-Thinker: Mid-training is all you need}},
author = {Shruthan Radhakrishna and Aman Tiwari and Aanjaneya Shukla and Masoud Hashemi and Rishabh Maheshwary and Shiva Krishna Reddy Malay and Jash Mehta and Pulkit Pattnaik and Saloni Mittal and Khalil Slimi and Kelechi Ogueji and Akintunde Oladipo and Soham Parikh and Oluwanifemi Bamgbose and Toby Liang and Ahmed Masry and Khyati Mahajan and Sai Rajeswar Mudumba and Vikas Yadav and Sathwik Tejaswi Madhusudhan and Torsten Scholak and Sagar Davasam and Srinivas Sunkara and Nicolas Chapados},
year = {2025},
howpublished = {ServiceNow SLAM Lab Technical Report},
url = {https://arxiv.org/abs/2510.01141},
}
2025
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
Juan A. Rodríguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, João Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vázquez, Sai Rajeswar · International Conference on Learning Representations (ICLR 2025)
@inproceedings{rodriguez2025bigdocs,
title = {{BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks}},
author = {Juan A. Rodríguez and Xiangru Jian and Siba Smarak Panigrahi and Tianyu Zhang and Aarash Feizi and Abhay Puri and Akshay Kalkunte and François Savard and Ahmed Masry and Shravan Nayak and Rabiul Awal and Mahsa Massoud and Amirhossein Abaskohi and Zichao Li and Suyuchen Wang and Pierre-André Noël and Mats Leon Richter and Saverio Vadacchino and Shubbam Agarwal and Sanket Biswas and Sara Shanian and Ying Zhang and Noah Bolger and Kurt MacDonald and Simon Fauvel and Sathwik Tejaswi and Srinivas Sunkara and João Monteiro and Krishnamurthy Dj Dvijotham and Torsten Scholak and Nicolas Chapados and Sepideh Kharagani and Sean Hughes and M. Tamer Özsu and Siva Reddy and Marco Pedersoli and Yoshua Bengio and Christopher Pal and Issam H. Laradji and Spandana Gella and Perouz Taslakian and David Vázquez and Sai Rajeswar},
year = {2025},
booktitle = {International Conference on Learning Representations (ICLR 2025)},
url = {https://openreview.net/forum?id=b1ivBPLb1n},
}
2025
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin · Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)
@inproceedings{williams2025cik,
title = {{Context is Key: A Benchmark for Forecasting with Essential Textual Information}},
author = {Andrew Robert Williams and Arjun Ashok and Étienne Marcotte and Valentina Zantedeschi and Jithendaraa Subramanian and Roland Riachi and James Requeima and Alexandre Lacoste and Irina Rish and Nicolas Chapados and Alexandre Drouin},
year = {2025},
booktitle = {Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)},
url = {https://proceedings.mlr.press/v267/williams25a.html},
}
2025
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
Gaurav Sahu, Abhay Puri, Juan A. Rodríguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vázquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam H. Laradji · International Conference on Learning Representations (ICLR 2025)
@inproceedings{sahu2025insightbench,
title = {{InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation}},
author = {Gaurav Sahu and Abhay Puri and Juan A. Rodríguez and Amirhossein Abaskohi and Mohammad Chegini and Alexandre Drouin and Perouz Taslakian and Valentina Zantedeschi and Alexandre Lacoste and David Vázquez and Nicolas Chapados and Christopher Pal and Sai Rajeswar and Issam H. Laradji},
year = {2025},
booktitle = {International Conference on Learning Representations (ICLR 2025)},
url = {https://openreview.net/forum?id=ZGqd0cbBvm},
}
2025
Silent Sabotage: Injecting Backdoors into AI Agents Through Fine-Tuning
Léo Boisvert, Abhay Puri, Chandra Kiran Reddy Evuru, Joshua Kazdan, Avinandan Bose, Quentin Cappart, Maryam Fazel, Sai Rajeswar, Jason Stanley, Nicolas Chapados, Alexandre Drouin, Krishnamurthy Dj Dvijotham · ICML 2025 Workshop on Computer Use Agents
@inproceedings{boisvert2025silentsabotage,
title = {{Silent Sabotage: Injecting Backdoors into AI Agents Through Fine-Tuning}},
author = {Léo Boisvert and Abhay Puri and Chandra Kiran Reddy Evuru and Joshua Kazdan and Avinandan Bose and Quentin Cappart and Maryam Fazel and Sai Rajeswar and Jason Stanley and Nicolas Chapados and Alexandre Drouin and Krishnamurthy Dj Dvijotham},
year = {2025},
booktitle = {ICML 2025 Workshop on Computer Use Agents},
url = {https://openreview.net/forum?id=RwoMf7YSfD},
}
2025
Spaced Scheduling for Large Language Model Training
Amine El Hattami, Nicolas Chapados, Christopher Pal · Transactions on Machine Learning Research
@article{hattami2025spaced,
title = {{Spaced Scheduling for Large Language Model Training}},
author = {Amine El Hattami and Nicolas Chapados and Christopher Pal},
year = {2025},
journal = {Transactions on Machine Learning Research},
url = {https://openreview.net/forum?id=p0KTYl2B9T},
}
2025
The BrowserGym Ecosystem for Web Agent Research
Thibault Le Sellier de Chezelles, Maxime Gasse, Alexandre Drouin, Massimo Caccia, Léo Boisvert, Megh Thakkar, Tom Marty, Rim Assouel, Sahar Omidi Shayegan, Lawrence Keunho Jang, Xing Han Lù, Ori Yoran, Dehan Kong, Frank F. Xu, Siva Reddy, Quentin Cappart, Graham Neubig, Ruslan Salakhutdinov, Nicolas Chapados, Alexandre Lacoste · Transactions on Machine Learning Research
@article{chezelles2025browsergym,
title = {{The BrowserGym Ecosystem for Web Agent Research}},
author = {Thibault Le Sellier de Chezelles and Maxime Gasse and Alexandre Drouin and Massimo Caccia and Léo Boisvert and Megh Thakkar and Tom Marty and Rim Assouel and Sahar Omidi Shayegan and Lawrence Keunho Jang and Xing Han Lù and Ori Yoran and Dehan Kong and Frank F. Xu and Siva Reddy and Quentin Cappart and Graham Neubig and Ruslan Salakhutdinov and Nicolas Chapados and Alexandre Lacoste},
year = {2025},
journal = {Transactions on Machine Learning Research},
url = {https://openreview.net/forum?id=5298fKGmv3},
}
2025
UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction
Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodríguez, Montek Kalsi, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vázquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar · Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)
@inproceedings{nayak2025uivision,
title = {{UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction}},
author = {Shravan Nayak and Xiangru Jian and Kevin Qinghong Lin and Juan A. Rodríguez and Montek Kalsi and Nicolas Chapados and M. Tamer Özsu and Aishwarya Agrawal and David Vázquez and Christopher Pal and Perouz Taslakian and Spandana Gella and Sai Rajeswar},
year = {2025},
booktitle = {Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)},
url = {https://proceedings.mlr.press/v267/nayak25a.html},
}
2025
WebArena Verified: Reliable Evaluation for Web Agents
Amine El Hattami, Megh Thakkar, Nicolas Chapados, Christopher Pal · NeurIPS 2025 Workshop on Scaling Environments for Agents (SEA)
@inproceedings{hattami2025webarenaverified,
title = {{WebArena Verified: Reliable Evaluation for Web Agents}},
author = {Amine El Hattami and Megh Thakkar and Nicolas Chapados and Christopher Pal},
year = {2025},
booktitle = {NeurIPS 2025 Workshop on Scaling Environments for Agents (SEA)},
url = {https://openreview.net/forum?id=94tlGxmqkN},
}
2024
Dynamic Routing and Wavelength Assignment with Reinforcement Learning
Peyman Kafaei, Quentin Cappart, Nicolas Chapados, Hamed Pouya, Louis-Martin Rousseau · INFORMS Journal on Optimization
@article{Kafaei_2024,
title = {{Dynamic Routing and Wavelength Assignment with Reinforcement Learning}},
author = {Peyman Kafaei and Quentin Cappart and Nicolas Chapados and Hamed Pouya and Louis-Martin Rousseau},
year = {2024},
journal = {INFORMS Journal on Optimization},
doi = {10.1287/ijoo.2023.0092},
url = {https://doi.org/10.1287/ijoo.2023.0092},
}
2024
Fine-Tuning Web Agents: It Works, But It's Trickier Than You Think
Massimo Caccia, Megh Thakkar, Léo Boisvert, Thibault Le Sellier de Chezelles, Alexandre Piché, Nicolas Chapados, Alexandre Drouin, Maxime Gasse, Alexandre Lacoste · NeurIPS 2024 Workshop on Open-World Agents
@inproceedings{caccia2024finetuning,
title = {{Fine-Tuning Web Agents: It Works, But It's Trickier Than You Think}},
author = {Massimo Caccia and Megh Thakkar and Léo Boisvert and Thibault Le Sellier de Chezelles and Alexandre Piché and Nicolas Chapados and Alexandre Drouin and Maxime Gasse and Alexandre Lacoste},
year = {2024},
booktitle = {NeurIPS 2024 Workshop on Open-World Agents},
url = {https://openreview.net/forum?id=SkwtxEkst2},
}
2024
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau, Nicolas Chapados, Siva Reddy · First Conference on Language Modeling (COLM 2024)
@inproceedings{behnamghader2024llm2vec,
title = {{LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders}},
author = {Parishad BehnamGhader and Vaibhav Adlakha and Marius Mosbach and Dzmitry Bahdanau and Nicolas Chapados and Siva Reddy},
year = {2024},
booktitle = {First Conference on Language Modeling (COLM 2024)},
url = {https://openreview.net/forum?id=IW1PR7vEBf},
}
2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian · Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Datasets and Benchmarks Track
@inproceedings{monteiro2024repliqa,
title = {{RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content}},
author = {João Monteiro and Pierre-André Noël and Étienne Marcotte and Sai Rajeswar and Valentina Zantedeschi and David Vázquez and Nicolas Chapados and Christopher Pal and Perouz Taslakian},
year = {2024},
booktitle = {Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Datasets and Benchmarks Track},
doi = {10.52202/079017-0764},
url = {https://arxiv.org/abs/2406.11811},
}
2024
StarCoder 2 and The Stack v2: The Next Generation
Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian McAuley, Han Hu, Torsten Scholak, Sebastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, Mostofa Patwary, Nima Tajbakhsh, Yacine Jernite, Carlos Muñoz Ferrandis, Lingming Zhang, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries · BigCode Project Technical Report
@misc{lozhkov2024starcoder2,
title = {{StarCoder 2 and The Stack v2: The Next Generation}},
author = {Anton Lozhkov and Raymond Li and Loubna Ben Allal and Federico Cassano and Joel Lamy-Poirier and Nouamane Tazi and Ao Tang and Dmytro Pykhtar and Jiawei Liu and Yuxiang Wei and Tianyang Liu and Max Tian and Denis Kocetkov and Arthur Zucker and Younes Belkada and Zijian Wang and Qian Liu and Dmitry Abulkhanov and Indraneil Paul and Zhuang Li and Wen-Ding Li and Megan Risdal and Jia Li and Jian Zhu and Terry Yue Zhuo and Evgenii Zheltonozhskii and Nii Osae Osae Dade and Wenhao Yu and Lucas Krauß and Naman Jain and Yixuan Su and Xuanli He and Manan Dey and Edoardo Abati and Yekun Chai and Niklas Muennighoff and Xiangru Tang and Muhtasham Oblokulov and Christopher Akiki and Marc Marone and Chenghao Mou and Mayank Mishra and Alex Gu and Binyuan Hui and Tri Dao and Armel Zebaze and Olivier Dehaene and Nicolas Patry and Canwen Xu and Julian McAuley and Han Hu and Torsten Scholak and Sebastien Paquet and Jennifer Robinson and Carolyn Jane Anderson and Nicolas Chapados and Mostofa Patwary and Nima Tajbakhsh and Yacine Jernite and Carlos Muñoz Ferrandis and Lingming Zhang and Sean Hughes and Thomas Wolf and Arjun Guha and Leandro von Werra and Harm de Vries},
year = {2024},
howpublished = {BigCode Project Technical Report},
url = {https://arxiv.org/abs/2402.19173},
}
2024
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin · International Conference on Learning Representations (ICLR 2024)
@inproceedings{ashok2024tactis2,
title = {{TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series}},
author = {Arjun Ashok and Étienne Marcotte and Valentina Zantedeschi and Nicolas Chapados and Alexandre Drouin},
year = {2024},
booktitle = {International Conference on Learning Representations (ICLR 2024)},
url = {https://openreview.net/forum?id=xtOydkE1Ku},
}
2024
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vázquez, Nicolas Chapados, Alexandre Lacoste · Proceedings of the 41st International Conference on Machine Learning (ICML 2024)
@inproceedings{drouin2024workarena,
title = {{WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?}},
author = {Alexandre Drouin and Maxime Gasse and Massimo Caccia and Issam H. Laradji and Manuel Del Verme and Tom Marty and David Vázquez and Nicolas Chapados and Alexandre Lacoste},
year = {2024},
booktitle = {Proceedings of the 41st International Conference on Machine Learning (ICML 2024)},
url = {https://proceedings.mlr.press/v235/drouin24a.html},
}
2024
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier de Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin · Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Datasets and Benchmarks Track
@inproceedings{boisvert2024workarenapp,
title = {{WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks}},
author = {Léo Boisvert and Megh Thakkar and Maxime Gasse and Massimo Caccia and Thibault Le Sellier de Chezelles and Quentin Cappart and Nicolas Chapados and Alexandre Lacoste and Alexandre Drouin},
year = {2024},
booktitle = {Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Datasets and Benchmarks Track},
doi = {10.52202/079017-0195},
url = {https://arxiv.org/abs/2407.05291},
}
2024
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian · Findings of the Association for Computational Linguistics: EMNLP 2024
@inproceedings{monteiro2024xccache,
title = {{XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference}},
author = {João Monteiro and Étienne Marcotte and Pierre-André Noël and Valentina Zantedeschi and David Vázquez and Nicolas Chapados and Christopher Pal and Perouz Taslakian},
year = {2024},
booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2024},
doi = {10.18653/v1/2024.findings-emnlp.896},
url = {https://aclanthology.org/2024.findings-emnlp.896.pdf},
}
2023
Can AI Read the Minds of Corporate Executives?
Nicolas Chapados, Zhenzhen Fan, Ruslan Goyenko, Issam Hadj Laradji, Fred Liu, Chengyu Zhang · Preprint, Available at SSRN
@article{chapados2023can,
title = {{Can AI Read the Minds of Corporate Executives?}},
author = {Nicolas Chapados and Zhenzhen Fan and Ruslan Goyenko and Issam Hadj Laradji and Fred Liu and Chengyu Zhang},
year = {2023},
journal = {Preprint, Available at SSRN},
url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4493166},
}
2023
Capture the Flag: Uncovering Data Insights with Large Language Models
Issam Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vázquez, Christopher Pal, Alexandre Drouin · NeurIPS 2023 Workshop on Foundation Models for Decision Making
@inproceedings{laradji2023ctf,
title = {{Capture the Flag: Uncovering Data Insights with Large Language Models}},
author = {Issam Laradji and Perouz Taslakian and Sai Rajeswar and Valentina Zantedeschi and Alexandre Lacoste and Nicolas Chapados and David Vázquez and Christopher Pal and Alexandre Drouin},
year = {2023},
booktitle = {NeurIPS 2023 Workshop on Foundation Models for Decision Making},
url = {https://openreview.net/forum?id=fkz5VfJCwo},
}
2023
Explaining Explainable AI
Richard Zuroff, Nicolas Chapados · Artificial Intelligence in Finance: Challenges, Opportunities and Regulatory Developments
@inbook{AIIF:EEAI,
title = {{Explaining Explainable AI}},
author = {Richard Zuroff and Nicolas Chapados},
year = {2023},
howpublished = {Artificial Intelligence in Finance: Challenges, Opportunities and Regulatory Developments},
doi = {10.4337/9781803926179.00010},
url = {https://doi.org/10.4337/9781803926179.00010},
}
2023
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Hena Ghonia, Rishika Bhagwatkar, Arian Khorasani, Mohammad Javad Darvishi Bayazi, George Adamopoulos, Roland Riachi, Nadhir Hassen, Marin Biloš, Sahil Garg, Anderson Schneider, Nicolas Chapados, Alexandre Drouin, Valentina Zantedeschi, Yuriy Nevmyvaka, Irina Rish · NeurIPS 2023 Workshop on Robustness of Few-shot and Zero-shot Learning in Large Foundation Models (R0-FoMo)
@inproceedings{rasul2023laglama,
title = {{Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting}},
author = {Kashif Rasul and Arjun Ashok and Andrew Robert Williams and Hena Ghonia and Rishika Bhagwatkar and Arian Khorasani and Mohammad Javad Darvishi Bayazi and George Adamopoulos and Roland Riachi and Nadhir Hassen and Marin Biloš and Sahil Garg and Anderson Schneider and Nicolas Chapados and Alexandre Drouin and Valentina Zantedeschi and Yuriy Nevmyvaka and Irina Rish},
year = {2023},
booktitle = {NeurIPS 2023 Workshop on Robustness of Few-shot and Zero-shot Learning in Large Foundation Models (R0-FoMo)},
url = {https://openreview.net/forum?id=jYluzCLFDM},
}
2023
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados · Proceedings of the 40th International Conference on Machine Learning (ICML 2023)
@inproceedings{EtienneMarcotte2023,
title = {{Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts}},
author = {Étienne Marcotte and Valentina Zantedeschi and Alexandre Drouin and Nicolas Chapados},
year = {2023},
booktitle = {Proceedings of the 40th International Conference on Machine Learning (ICML 2023)},
url = {https://proceedings.mlr.press/v202/marcotte23a.html},
}
2023
The Unsolved Challenges of LLMs as Generalist Web Agents: A Case Study
Rim Assouel, Tom Marty, Massimo Caccia, Issam Laradji, Alexandre Drouin, Sai Rajeswar, Hector Palacios, Quentin Cappart, David Vázquez, Nicolas Chapados, Maxime Gasse, Alexandre Lacoste · NeurIPS 2023 Workshop on Foundation Models for Decision Making
@inproceedings{assouel2023unsolved,
title = {{The Unsolved Challenges of LLMs as Generalist Web Agents: A Case Study}},
author = {Rim Assouel and Tom Marty and Massimo Caccia and Issam Laradji and Alexandre Drouin and Sai Rajeswar and Hector Palacios and Quentin Cappart and David Vázquez and Nicolas Chapados and Maxime Gasse and Alexandre Lacoste},
year = {2023},
booktitle = {NeurIPS 2023 Workshop on Foundation Models for Decision Making},
url = {https://openreview.net/forum?id=jt3il4fC5B},
}
2022
TACTiS: Transformer-Attentional Copulas for Time Series
Alexandre Drouin, Étienne Marcotte, Nicolas Chapados · Proceedings of the 39th International Conference on Machine Learning
@inproceedings{pmlr-v162-drouin22a,
title = {{TACTiS: Transformer-Attentional Copulas for Time Series}},
author = {Alexandre Drouin and Étienne Marcotte and Nicolas Chapados},
year = {2022},
booktitle = {Proceedings of the 39th International Conference on Machine Learning},
url = {https://proceedings.mlr.press/v162/drouin22a.html},
}
2021
Graph neural networks and deep reinforcement learning for simultaneous beam orientation and trajectory optimization of Cyberknife
Peyman Kafaei, Quentin Cappart, Marc-Andre Renaud, Nicolas Chapados, Louis-Martin Rousseau · Physics in Medicine & Biology
@article{Kafaei_2021,
title = {{Graph neural networks and deep reinforcement learning for simultaneous beam orientation and trajectory optimization of Cyberknife}},
author = {Peyman Kafaei and Quentin Cappart and Marc-Andre Renaud and Nicolas Chapados and Louis-Martin Rousseau},
year = {2021},
journal = {Physics in Medicine & Biology},
doi = {10.1088/1361-6560/ac2bb5},
url = {https://dx.doi.org/10.1088/1361-6560/ac2bb5},
}
2021
Meta-learning framework with applications to zero-shot time-series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio · Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence
@inproceedings{oreshkin2021a,
title = {{Meta-learning framework with applications to zero-shot time-series forecasting}},
author = {Boris N. Oreshkin and Dmitri Carpov and Nicolas Chapados and Yoshua Bengio},
year = {2021},
booktitle = {Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence},
url = {https://doi.org/10.1609/aaai.v35i10.17115},
}
2020
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio · International Conference on Learning Representations
@inproceedings{oreshkin2019n,
title = {{N-BEATS: Neural basis expansion analysis for interpretable time series forecasting}},
author = {Boris N. Oreshkin and Dmitri Carpov and Nicolas Chapados and Yoshua Bengio},
year = {2020},
booktitle = {International Conference on Learning Representations},
url = {https://arxiv.org/abs/1905.10437},
}
2019
Learning to Learn with Conditional Class Dependencies
Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin · International Conference on Learning Representations
@inproceedings{jiang2018learning,
title = {{Learning to Learn with Conditional Class Dependencies}},
author = {Xiang Jiang and Mohammad Havaei and Farshid Varno and Gabriel Chartrand and Nicolas Chapados and Stan Matwin},
year = {2019},
booktitle = {International Conference on Learning Representations},
url = {https://openreview.net/forum?id=BJfOXnActQ},
}
2019
Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model
Michael F Byrne, Nicolas Chapados, Florian Soudan, Clemens Oertel, Milagros Linares Perez, Raymond Kelly, Nadeem Iqbal, Florent Chandelier, Douglas K Rex · Gut
@article{Byrnegutjnl-2017-314547,
title = {{Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model}},
author = {Michael F Byrne and Nicolas Chapados and Florian Soudan and Clemens Oertel and Milagros Linares Perez and Raymond Kelly and Nadeem Iqbal and Florent Chandelier and Douglas K Rex},
year = {2019},
journal = {Gut},
doi = {10.1136/gutjnl-2017-314547},
url = {http://gut.bmj.com/content/early/2017/10/24/gutjnl-2017-314547},
}
2018
Adversarially Learned Mixture Model
Andrew Jesson, Cécile Low-Kam, Florian Soudan, Nicolas Chapados · Theoretical Foundations and Applications of Deep Generative Models, ICML 2018
@inproceedings{TFADGM:ICML:2018,
title = {{Adversarially Learned Mixture Model}},
author = {Andrew Jesson and Cécile Low-Kam and Florian Soudan and Nicolas Chapados},
year = {2018},
booktitle = {Theoretical Foundations and Applications of Deep Generative Models, ICML 2018},
url = {https://arxiv.org/abs/1807.05344},
}
2018
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification
Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados · NeurIPS 2018 Second Workshop on Meta-Learning
@inproceedings{Jiang2018ataml,
title = {{Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification}},
author = {Xiang Jiang and Mohammad Havaei and Gabriel Chartrand and Hassan Chouaib and Thomas Vincent and Andrew Jesson and Nicolas Chapados},
year = {2018},
booktitle = {NeurIPS 2018 Second Workshop on Meta-Learning},
}
2018
Information Fusion in Deep Convolutional Neural Networks for Biomedical Image Segmentation
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio · Signal Processing and Machine Learning for Biomedical Big Data
@inbook{BSPBD:IFDC:2019,
title = {{Information Fusion in Deep Convolutional Neural Networks for Biomedical Image Segmentation}},
author = {Mohammad Havaei and Nicolas Guizard and Nicolas Chapados and Yoshua Bengio},
year = {2018},
howpublished = {Signal Processing and Machine Learning for Biomedical Big Data},
url = {https://doi.org/10.1201/9781351061223-15},
}
2018
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification
Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin
@misc{1806.00852,
title = {{On the Importance of Attention in Meta-Learning for Few-Shot Text Classification}},
author = {Xiang Jiang and Mohammad Havaei and Gabriel Chartrand and Hassan Chouaib and Thomas Vincent and Andrew Jesson and Nicolas Chapados and Stan Matwin},
year = {2018},
url = {https://arxiv.org/abs/1806.00852},
}
2018
Real-Time Artificial Intelligence “Full Colonoscopy Workflow” for Automatic Detection Followed by Optical Biopsy of Colorectal Polyps
Michael F. Byrne, Florian Soudan, Milagros Henkel, Clemens Oertel, Nicolas Chapados, Francisco J. Echagüe, Sina Hamidi Ghalehjegh, Nicolas Guizard, Sébastien Giguère, Margaret E. MacPhail, Andrew Sullivan, Florent Chandelier, Douglas K. Rex · Gastrointestinal Endoscopy
@article{Byrne_2018,
title = {{Real-Time Artificial Intelligence “Full Colonoscopy Workflow” for Automatic Detection Followed by Optical Biopsy of Colorectal Polyps}},
author = {Michael F. Byrne and Florian Soudan and Milagros Henkel and Clemens Oertel and Nicolas Chapados and Francisco J. Echagüe and Sina Hamidi Ghalehjegh and Nicolas Guizard and Sébastien Giguère and Margaret E. MacPhail and Andrew Sullivan and Florent Chandelier and Douglas K. Rex},
year = {2018},
journal = {Gastrointestinal Endoscopy},
doi = {10.1016/j.gie.2018.04.2037},
url = {https://doi.org/10.1016/j.gie.2018.04.2037},
}
2017
Artificial Intelligence (AI) in Endoscopy–-Deep Learning for Optical Biopsy of Colorectal Polyps in Real-Time on Unaltered Endoscopic Videos
Michael F. Byrne, Nicolas Chapados, Florian Soudan, Clemens Oertel, Milagros L. Linares Pérez, Raymond Kelly, Nadeem Iqbal, Florent Chandelier, Douglas K. Rex · Gastrointestinal Endoscopy
@article{Byrne_2017,
title = {{Artificial Intelligence (AI) in Endoscopy–-Deep Learning for Optical Biopsy of Colorectal Polyps in Real-Time on Unaltered Endoscopic Videos}},
author = {Michael F. Byrne and Nicolas Chapados and Florian Soudan and Clemens Oertel and Milagros L. Linares Pérez and Raymond Kelly and Nadeem Iqbal and Florent Chandelier and Douglas K. Rex},
year = {2017},
journal = {Gastrointestinal Endoscopy},
doi = {10.1016/j.gie.2017.03.843},
url = {https://doi.org/10.1016/j.gie.2017.03.843},
}
2017
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance
Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados · Medical Image Computing and Computer-Assisted Intervention (MICCAI 2017). Lecture Notes in Computer Science, vol. 10435
@incollection{Jesson2017,
title = {{CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance}},
author = {Andrew Jesson and Nicolas Guizard and Sina Hamidi Ghalehjegh and Damien Goblot and Florian Soudan and Nicolas Chapados},
year = {2017},
howpublished = {Medical Image Computing and Computer-Assisted Intervention (MICCAI 2017). Lecture Notes in Computer Science, vol. 10435},
doi = {10.1007/978-3-319-66179-7_73},
url = {https://doi.org/10.1007/978-3-319-66179-7_73},
}
2017
Data imputation with latent variable models
Michal Drozdzal, Mohammad Havaei, Chin-Way Huang, Laurent Charlin, Nicolas Chapados, Aaron Courville · Montreal AI Symposium 2017
@inproceedings{DHHCCC:DILVM:2017,
title = {{Data imputation with latent variable models}},
author = {Michal Drozdzal and Mohammad Havaei and Chin-Way Huang and Laurent Charlin and Nicolas Chapados and Aaron Courville},
year = {2017},
booktitle = {Montreal AI Symposium 2017},
url = {https://montrealaisymposium.wordpress.com/mais2017-accepted-papers/},
}
2016
Artificial Intelligence (Ai) In Endoscopy–Deep Learning For Optical Biopsy Of Colorectal Polyps In Real-Time On Unaltered Endoscopic Videos
Michael F. Byrne, Douglas K. Rex, Nicolas Chapados, Florian Soudan, Clemens Oertel, Milagros Linares Perez, R. Kelly, N. Iqbal, Florent Chandelier · United European Gastroenterology Journal
@inproceedings{Byrne2016,
title = {{Artificial Intelligence (Ai) In Endoscopy–Deep Learning For Optical Biopsy Of Colorectal Polyps In Real-Time On Unaltered Endoscopic Videos}},
author = {Michael F. Byrne and Douglas K. Rex and Nicolas Chapados and Florian Soudan and Clemens Oertel and Milagros Linares Perez and R. Kelly and N. Iqbal and Florent Chandelier},
year = {2016},
booktitle = {United European Gastroenterology Journal},
doi = {10.1177/2050640616663688},
url = {http://journals.sagepub.com/doi/10.1177/2050640616663688},
}
2016
Automated Segmentation of Liver Metastases with Deep Convolutional Neural Networks
Eugene Vorontsov, Gabriel Chartrand, Olina Dagher, Vi Thuy Tran, Mathieu Flamand, Aline Khatchikian, Amine Smouk, Nicolas Siron, Anne-Catherine Maynard-Paquette, David Roy, Nicolas Chapados, Simon Turcotte, Real Lapointe, Franck Vandenbroucke-Menu, Bich Nguyen, Christopher Pal, Samuel Kadoury, An Tang · Radiological Society of North America 2016 Scientific Assembly and Annual Meeting
BibTeX
@inproceedings{Vorontsov2016,
title = {{Automated Segmentation of Liver Metastases with Deep Convolutional Neural Networks}},
author = {Eugene Vorontsov and Gabriel Chartrand and Olina Dagher and Vi Thuy Tran and Mathieu Flamand and Aline Khatchikian and Amine Smouk and Nicolas Siron and Anne-Catherine Maynard-Paquette and David Roy and Nicolas Chapados and Simon Turcotte and Real Lapointe and Franck Vandenbroucke-Menu and Bich Nguyen and Christopher Pal and Samuel Kadoury and An Tang},
year = {2016},
booktitle = {Radiological Society of North America 2016 Scientific Assembly and Annual Meeting},
}
2016
HeMIS: Hetero-Modal Image Segmentation
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio · Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Lecture Notes in Computer Science, vol. 9901
@incollection{Havaei2016,
title = {{HeMIS: Hetero-Modal Image Segmentation}},
author = {Mohammad Havaei and Nicolas Guizard and Nicolas Chapados and Yoshua Bengio},
year = {2016},
howpublished = {Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Lecture Notes in Computer Science, vol. 9901},
url = {https://arxiv.org/abs/1607.05194},
}
2014
Effective Bayesian Modeling of Groups of Related Count Time Series
Nicolas Chapados · Journal of Machine Learning Research, Workshop and Conference Proceedings
@inproceedings{C:EBMGRCTS:2014,
title = {{Effective Bayesian Modeling of Groups of Related Count Time Series}},
author = {Nicolas Chapados},
year = {2014},
booktitle = {Journal of Machine Learning Research, Workshop and Conference Proceedings},
url = {https://proceedings.mlr.press/v32/chapados14.html},
}
2014
Hierarchical Bayesian State-Space Model for Call Center Arrival Rate Forecasting
Nicolas Chapados, Pierre L’Ecuyer · Journées de l'optimisation 2014
@inproceedings{CL:HBSSM:2014,
title = {{Hierarchical Bayesian State-Space Model for Call Center Arrival Rate Forecasting}},
author = {Nicolas Chapados and Pierre L’Ecuyer},
year = {2014},
booktitle = {Journées de l'optimisation 2014},
}
2014
Retail store scheduling for profit
Nicolas Chapados, Marc Joliveau, Pierre L’Ecuyer, Louis-Martin Rousseau · European Journal of Operational Research
@article{CJER:RSSFP:2014,
title = {{Retail store scheduling for profit}},
author = {Nicolas Chapados and Marc Joliveau and Pierre L’Ecuyer and Louis-Martin Rousseau},
year = {2014},
journal = {European Journal of Operational Research},
doi = {http://dx.doi.org/10.1016/j.ejor.2014.05.033},
url = {http://www.sciencedirect.com/science/article/pii/S0377221714004561},
}
2013
Volatility Forecasting and Explanatory Variables: A Tractable Bayesian Approach to Stochastic Volatility
Nicolas Chapados, Christian Dorion · Working Paper
@misc{CD:VFEV:2014,
title = {{Volatility Forecasting and Explanatory Variables: A Tractable Bayesian Approach to Stochastic Volatility}},
author = {Nicolas Chapados and Christian Dorion},
year = {2013},
howpublished = {Working Paper},
url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1747945},
}
2012
Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine
Yoshua Bengio, Nicolas Chapados, Olivier Delalleau, Christian Hudon, Xavier Saint-Mleux, Hugo Larochelle, Jérôme Louradour · Computational Intelligence
@article{BCDHSLL:DC:2012,
title = {{Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine}},
author = {Yoshua Bengio and Nicolas Chapados and Olivier Delalleau and Christian Hudon and Xavier Saint-Mleux and Hugo Larochelle and Jérôme Louradour},
year = {2012},
journal = {Computational Intelligence},
url = {https://doi.org/10.1111/j.1467-8640.2012.00419.x},
}
2011
A High-Order Feature Synthesis and Selection Algorithm Applied to Insurance Risk Modelling
Charles Dugas, Nicolas Chapados, Réjean Ducharme, Xavier Saint-Mleux, Pascal Vincent · International Journal of Business Intelligence and Data Mining
@article{DCDSV:HOFS:2011,
title = {{A High-Order Feature Synthesis and Selection Algorithm Applied to Insurance Risk Modelling}},
author = {Charles Dugas and Nicolas Chapados and Réjean Ducharme and Xavier Saint-Mleux and Pascal Vincent},
year = {2011},
journal = {International Journal of Business Intelligence and Data Mining},
url = {https://doi.org/10.1504/ijbidm.2011.041957},
}
2011
Portfolio Choice Problems: an Introductory Survey of Single and Multiperiod Models
@book{C:PCP:2011,
title = {{Portfolio Choice Problems: an Introductory Survey of Single and Multiperiod Models}},
author = {Nicolas Chapados},
year = {2011},
howpublished = {Springer},
url = {https://doi.org/10.1007/978-1-4614-0577-1},
}
2011
Retail Store Workforce Scheduling by Expected Operating Income Maximization
Nicolas Chapados, Marc Joliveau, Louis-Martin Rousseau · Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
@inproceedings{CJR:RSWS:2011,
title = {{Retail Store Workforce Scheduling by Expected Operating Income Maximization}},
author = {Nicolas Chapados and Marc Joliveau and Louis-Martin Rousseau},
year = {2011},
booktitle = {Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems},
url = {https://doi.org/10.1007/978-3-642-21311-3_7},
}
2011
Stochastic Modeling of Retail Stores for Workforce Management
Nicolas Chapados, Marc Joliveau, Louis-Martin Rousseau · 2011 INFORMS Simulation Society Research Workshop
@inproceedings{CJR:SMRS:2011,
title = {{Stochastic Modeling of Retail Stores for Workforce Management}},
author = {Nicolas Chapados and Marc Joliveau and Louis-Martin Rousseau},
year = {2011},
booktitle = {2011 INFORMS Simulation Society Research Workshop},
}
2010
Algorithmes d'apprentissage en gestion de portefeuille: optimisation et combinaison de réseaux de neurones; application à la répartition d'actifs sous contrainte de valeur à risque
Nicolas Chapados · Éditions Universitaires Européennes
BibTeX
@book{C:AAGP:2010,
title = {{Algorithmes d'apprentissage en gestion de portefeuille: optimisation et combinaison de réseaux de neurones; application à la répartition d'actifs sous contrainte de valeur à risque}},
author = {Nicolas Chapados},
year = {2010},
howpublished = {Éditions Universitaires Européennes},
}
2010
Non-Parametric Volatility Forecasting with Gaussian Processes
Nicolas Chapados, Christian Dorion · 16th International Conference on Computing in Economics and Finance
@inproceedings{CD:NPVF:2010,
title = {{Non-Parametric Volatility Forecasting with Gaussian Processes}},
author = {Nicolas Chapados and Christian Dorion},
year = {2010},
booktitle = {16th International Conference on Computing in Economics and Finance},
}
2009
Forecasting and Trading Commodity Contract Spreads with Gaussian Processes
@inproceedings{MTBCD:SML:2009,
title = {{Statistical Machine Learning Algorithms for Target Classification from Acoustic Signature}},
author = {Vincent Mirelli and Stephen Tenney and Yoshua Bengio and Nicolas Chapados and Olivier Delalleau},
year = {2009},
booktitle = {Military Sensors and Systems},
}
2009
Training Graphs of Learning Modules for Sequential Data
@inproceedings{CB:AFTSR:2008,
title = {{Augmented Functional Time Series Representation and Forecasting with Gaussian Processes}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2008},
booktitle = {Advances in Neural Information Processing Systems 20},
url = {https://portfolioparadigms.com/wp-content/uploads/2009/08/gp_spreads_nips07.pdf},
}
2008
Scoring Models for Insurance Risk Sharing Pool Optimization
Nicolas Chapados, Charles Dugas, Pascal Vincent, Réjean Ducharme · Second International Workshop on Domain Driven Data Mining
@inproceedings{CDVD:SMI:2008,
title = {{Scoring Models for Insurance Risk Sharing Pool Optimization}},
author = {Nicolas Chapados and Charles Dugas and Pascal Vincent and Réjean Ducharme},
year = {2008},
booktitle = {Second International Workshop on Domain Driven Data Mining},
url = {https://portfolioparadigms.com/wp-content/uploads/2009/08/icdm2008.pdf},
}
2007
Forecasting Commodity Contract Spreads with Gaussian Processes
Nicolas Chapados, Yoshua Bengio · 13th International Conference on Computing in Economics and Finance
@inproceedings{CB:FCCS:2007,
title = {{Forecasting Commodity Contract Spreads with Gaussian Processes}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2007},
booktitle = {13th International Conference on Computing in Economics and Finance},
}
2007
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Nicolas Chapados, Yoshua Bengio · Journal of Computers
@article{CB:NKBPADP:2007,
title = {{Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2007},
journal = {Journal of Computers},
url = {https://doi.org/10.4304/jcp.2.1.12-19},
}
2006
The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization
Nicolas Chapados, Yoshua Bengio · Advances in Artificial Intelligence, Proceedings of the 19th Conference of the Canadian Society for Computational Studies of Intelligence
@inproceedings{CB:KBP:2006,
title = {{The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2006},
booktitle = {Advances in Artificial Intelligence, Proceedings of the 19th Conference of the Canadian Society for Computational Studies of Intelligence},
url = {https://portfolioparadigms.com/wp-content/uploads/2009/08/chapados_ai06.pdf},
}
2006
The PLearn Machine Learning Library
Pascal Vincent, Nicolas Chapados · NIPS Workshop on Machine Learning Open Source Software
@inproceedings{VC:PMLL:2006,
title = {{The PLearn Machine Learning Library}},
author = {Pascal Vincent and Nicolas Chapados},
year = {2006},
booktitle = {NIPS Workshop on Machine Learning Open Source Software},
}
2005
The K-Shortest-Paths Approach to Approximate Dynamic Programming
Nicolas Chapados, Yoshua Bengio · NIPS 2005 Workshop on Machine Learning in Finance
@misc{C:CACG:2003,
title = {{Comment améliorer la capacité de généralisation des algorithmes d'apprentissage pour la prise de décisions financières}},
author = {Nicolas Chapados},
year = {2003},
howpublished = {Cirano Scientific Series 2003s-20},
url = {https://cirano.qc.ca/files/publications/2003s-20.pdf},
}
2003
Extensions to Metric-Based Model Selection
Yoshua Bengio, Nicolas Chapados · Journal of Machine Learning Research
@article{BC:EMBMS:2003,
title = {{Extensions to Metric-Based Model Selection}},
author = {Yoshua Bengio and Nicolas Chapados},
year = {2003},
journal = {Journal of Machine Learning Research},
url = {https://www.jmlr.org/papers/volume3/bengio03b/bengio03b.pdf},
}
2003
SAFIR: a Simple API for Financial Information Requests
Nicolas Chapados · Cirano Scientific Series 2003s-21
@misc{C:SAFIR:2003,
title = {{SAFIR: a Simple API for Financial Information Requests}},
author = {Nicolas Chapados},
year = {2003},
howpublished = {Cirano Scientific Series 2003s-21},
url = {https://cirano.qc.ca/files/publications/2003s-21.pdf},
}
2003
Statistical Learning Algorithms Applied to Automobile Insurance Ratemaking
Charles Dugas, Yoshua Bengio, Nicolas Chapados, Pascal Vincent, Germain Denoncourt, Christian Fournier · Intelligent Techniques for The Insurance Industry: Theory and Applications
@inproceedings{DBCVDF:SLAAIR:2003,
title = {{Statistical Learning Algorithms Applied to Automobile Insurance Ratemaking}},
author = {Charles Dugas and Yoshua Bengio and Nicolas Chapados and Pascal Vincent and Germain Denoncourt and Christian Fournier},
year = {2003},
booktitle = {Intelligent Techniques for The Insurance Industry: Theory and Applications},
url = {https://portfolioparadigms.com/wp-content/uploads/2009/08/chapter_final.pdf},
}
2002
Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference
Nicolas Chapados, Yoshua Bengio, Pascal Vincent, Charles Dugas Joumana Ghosn, Ichiro Takeuchi, Linyan Meng · Advances in Neural Information Processing Systems 14
@inproceedings{CBVGDTM:ECIP:2002,
title = {{Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference}},
author = {Nicolas Chapados and Yoshua Bengio and Pascal Vincent and Charles Dugas Joumana Ghosn and Ichiro Takeuchi and Linyan Meng},
year = {2002},
booktitle = {Advances in Neural Information Processing Systems 14},
url = {https://papers.nips.cc/paper/2001},
}
2002
Metric-Based Model Selection for Time-Series Forecasting
Yoshua Bengio, Nicolas Chapados · Neural Networks for Signal Processing XII
@inproceedings{BC:MBMS:2002,
title = {{Metric-Based Model Selection for Time-Series Forecasting}},
author = {Yoshua Bengio and Nicolas Chapados},
year = {2002},
booktitle = {Neural Networks for Signal Processing XII},
url = {https://doi.org/10.1109/nnsp.2002.1030013},
}
2002
Valorisation d'options par optimisation du Sharpe Ratio
Olivier Bardou, Yoshua Bengio, Nicolas Chapados, Réjean Ducharme · Cirano Scientific Series 2002s-47
@misc{BBCD:VO:2003,
title = {{Valorisation d'options par optimisation du Sharpe Ratio}},
author = {Olivier Bardou and Yoshua Bengio and Nicolas Chapados and Réjean Ducharme},
year = {2002},
howpublished = {Cirano Scientific Series 2002s-47},
url = {https://cirano.qc.ca/files/publications/2002s-47.pdf},
}
2001
Cost Functions and Model Combination for VaR-Based Asset Allocation Using Neural Networks
Nicolas Chapados, Yoshua Bengio · IEEE Transactions on Neural Networks
@article{CB:CFMC:2001,
title = {{Cost Functions and Model Combination for VaR-Based Asset Allocation Using Neural Networks}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2001},
journal = {IEEE Transactions on Neural Networks},
url = {https://doi.org/10.1109/72.935098},
}
2001
Extending Metric-Based Model Selection and Regularization in the Absence of Unlabeled Data
Yoshua Bengio, Nicolas Chapados · Université de Montréal, département d'informatique et de recherche opérationnelle, Technical Report #1200
@misc{BC:EMBMS:2001,
title = {{Extending Metric-Based Model Selection and Regularization in the Absence of Unlabeled Data}},
author = {Yoshua Bengio and Nicolas Chapados},
year = {2001},
howpublished = {Université de Montréal, département d'informatique et de recherche opérationnelle, Technical Report #1200},
}
2001
High-dimensional data inference for automobile insurance premia estimation
Yoshua Bengio, Nicolas Chapados, Charles Dugas, Joumana Ghosn, Ichiro Takeuchi, Pascal Vincent · 2001 MITACS Annual General Meeting
@inproceedings{BCDGTV:HDDI:2001,
title = {{High-dimensional data inference for automobile insurance premia estimation}},
author = {Yoshua Bengio and Nicolas Chapados and Charles Dugas and Joumana Ghosn and Ichiro Takeuchi and Pascal Vincent},
year = {2001},
booktitle = {2001 MITACS Annual General Meeting},
}
2001
Input Decay: Simple and Effective Soft Variable Selection
Nicolas Chapados, Yoshua Bengio · Proceedings of the IEEE/INNS International Joint Conference on Neural Networks 2001
@inproceedings{CB:ID:2001,
title = {{Input Decay: Simple and Effective Soft Variable Selection}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2001},
booktitle = {Proceedings of the IEEE/INNS International Joint Conference on Neural Networks 2001},
url = {https://doi.org/10.1109/ijcnn.2001.939537},
}
2000
Cost Functions and Model Combination for VaR-Based Asset Allocation Using Neural Networks
Nicolas Chapados, Yoshua Bengio · Computational Finance 2000
@inproceedings{CB:CFMC:2000,
title = {{Cost Functions and Model Combination for VaR-Based Asset Allocation Using Neural Networks}},
author = {Nicolas Chapados and Yoshua Bengio},
year = {2000},
booktitle = {Computational Finance 2000},
}
2000
Critères d'optimisation d'algorithmes d'apprentissage en gestion de portefeuille
@mastersthesis{C:COAA:2000,
title = {{Critères d'optimisation d'algorithmes d'apprentissage en gestion de portefeuille}},
author = {Nicolas Chapados},
year = {2000},
school = {Université de Montréal},
url = {https://portfolioparadigms.com/wp-content/uploads/2009/08/memoire_total.pdf},
}
1999
A Mixed-Initiative Natural Dialogue System for Conference Room Reservation
Claudia Pateras, Nicolas Chapados, Remi Kwan, Dominic Lavoie, Réal Tremblay · Proceedings of the EuroSpeech'99 Conference
@inproceedings{PCKLT:MIND:1999,
title = {{A Mixed-Initiative Natural Dialogue System for Conference Room Reservation}},
author = {Claudia Pateras and Nicolas Chapados and Remi Kwan and Dominic Lavoie and Réal Tremblay},
year = {1999},
booktitle = {Proceedings of the EuroSpeech'99 Conference},
url = {https://www.isca-archive.org/eurospeech_1999/pateras99_eurospeech.pdf},
}
Brevets
Trading schedule management system2019
Pascal Bergeron, Nicolas Chapados, Étienne Marcotte, Marek Sabata, Ivan Sergienko, Richard Anthony Valenzano, Benjamin Crestel · WO 2020/051712 · CA 3,112,484
Statut: Demande PCT publiée en 2020 ; demande canadienne en instance. Demandes américaine et européenne abandonnées. · Google Patents
Covariate processing with neural network execution blocks2025
Daniel Wong, Dmitri Carpov, Nicolas Chapados · US 12,406,173 · CA 3,097,644 · WO 2022/087745