Nicolas Chapados

63 papers A* 12B 1Journal 39Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM2Vec-Gen: Generative Embeddings from Large Language Models. CoRR Parishad BehnamGhader, Vaibhav Adlakha, Fabian David Schmidt, Nicolas Chapados, Marius Mosbach, Siva Reddy
2025	J	`jnl`	AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding. CoRR 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 H. Laradji, David Vázquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar
2025	J	`jnl`	Apriel-1.5-15b-Thinker. CoRR Shruthan Radhakrishna, Aman Tiwari, Aanjaneya Shukla, Masoud Hashemi, Rishabh Maheshwary, Shiva Krishna Reddy Malay, Jash Mehta, Pulkit Pattnaik, Saloni Mittal, Khalil Slimi, Kelechi Ogueji, Akintunde Oladipo, Soham Parikh, Oluwanifemi Bamgbose, Toby Liang, Ahmed Masry, Khyati Mahajan, Sai Rajeswar Mudumba, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Torsten Scholak, Sagar Davasam, Srinivas Sunkara, Nicolas Chapados
2025	J	`jnl`	Beyond Naïve Prompting: Strategies for Improved Zero-shot Context-aided Forecasting with LLMs. CoRR Arjun Ashok, Andrew Robert Williams, Vincent Zhihao Zheng, Irina Rish, Nicolas Chapados, Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin
2025	A*	`conf`	Context is Key: A Benchmark for Forecasting with Essential Textual Information. ICML Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin
2025	J	`jnl`	DRBench: A Realistic Benchmark for Enterprise Deep Research. CoRR 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
2025	J	`jnl`	Grounding Computer Use Agents on Human Demonstrations. CoRR Aarash Feizi, Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Kaixin Li, Rabiul Awal, Xing Han Lù, Johan Obando-Ceron, Juan A. Rodríguez, Nicolas Chapados, David Vázquez, Adriana Romero-Soriano, Reihaneh Rabbany, Perouz Taslakian, Christopher Pal, Spandana Gella, Sai Rajeswar
2025	A*	`conf`	InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. ICLR 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
2025	J	`jnl`	Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain. CoRR Léo Boisvert, Abhay Puri, Chandra Kiran Reddy Evuru, Nicolas Chapados, Quentin Cappart, Alexandre Lacoste, Krishnamurthy Dj Dvijotham, Alexandre Drouin
2025	J	`jnl`	Societal Alignment Frameworks Can Improve LLM Alignment. CoRR Karolina Stanczak, Nicholas Meade, Mehar Bhatia, Hattie Zhou, Konstantin Böttinger, Jeremy Barnes, Jason Stanley, Jessica Montgomery, Richard S. Zemel, Nicolas Papernot, Nicolas Chapados, Denis Therien, Timothy P. Lillicrap, Ana Marasovic, Sylvie Delacroix, Gillian K. Hadfield, Siva Reddy
2025	J	`jnl`	Spaced Scheduling for Large Language Model Training. Trans. Mach. Learn. Res. Amine El Hattami, Nicolas Chapados, Christopher Pal
2025	J	`jnl`	The BrowserGym Ecosystem for Web Agent Research. Trans. Mach. Learn. Res. Thibault Le Sellier de Chezelles, Maxime Gasse, Alexandre Lacoste, Massimo Caccia, Alexandre Drouin, 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, Graham Neubig, Quentin Cappart, Russ Salakhutdinov, Nicolas Chapados
2025	A*	`conf`	UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction. ICML 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
2025	J	`jnl`	UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction. CoRR Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodríguez, Montek Kalsi, Rabiul Awal, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vázquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar
2024	J	`jnl`	BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. CoRR 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
2024	J	`jnl`	Context is Key: A Benchmark for Forecasting with Essential Textual Information. CoRR Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin
2024	J	`jnl`	Dynamic Routing and Wavelength Assignment with Reinforcement Learning. INFORMS J. Optim. Peyman Kafaei, Quentin Cappart, Nicolas Chapados, Hamed Pouya, Louis-Martin Rousseau
2024	J	`jnl`	InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. CoRR Gaurav Sahu, Abhay Puri, Juan A. Rodríguez, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vázquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam Hadj Laradji
2024	J	`jnl`	LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders. CoRR Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau, Nicolas Chapados, Siva Reddy
2024	A*	`conf`	RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. NeurIPS João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar Mudumba, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Chris Pal, Perouz Taslakian
2024	J	`jnl`	RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. CoRR João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
2024	J	`jnl`	StarCoder 2 and The Stack v2: The Next Generation. CoRR 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 J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.
2024	A*	`conf`	TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. ICLR Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin
2024	J	`jnl`	The BrowserGym Ecosystem for Web Agent Research. CoRR 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
2024	A*	`conf`	WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. NeurIPS Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier de Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin
2024	J	`jnl`	WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. CoRR Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier de Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin
2024	J	`jnl`	WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? CoRR Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vázquez, Nicolas Chapados, Alexandre Lacoste
2024	A*	`conf`	WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks? ICML Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vázquez, Nicolas Chapados, Alexandre Lacoste
2024	—	`conf`	XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. EMNLP (Findings) João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
2024	J	`jnl`	XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. CoRR João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
2023	J	`jnl`	Capture the Flag: Uncovering Data Insights with Large Language Models. CoRR Issam H. Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vázquez, Christopher Pal, Alexandre Drouin
2023	J	`jnl`	Lag-Llama: Towards Foundation Models for Time Series Forecasting. CoRR Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Arian Khorasani, George Adamopoulos, Rishika Bhagwatkar, Marin Bilos, Hena Ghonia, Nadhir Vincent Hassen, Anderson Schneider, Sahil Garg, Alexandre Drouin, Nicolas Chapados, Yuriy Nevmyvaka, Irina Rish
2023	A*	`conf`	Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts. ICML Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados
2023	J	`jnl`	Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts. CoRR Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados
2023	J	`jnl`	TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. CoRR Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin
2022	A*	`conf`	TACTiS: Transformer-Attentional Copulas for Time Series. ICML Alexandre Drouin, Étienne Marcotte, Nicolas Chapados
2022	J	`jnl`	TACTiS: Transformer-Attentional Copulas for Time Series. CoRR Alexandre Drouin, Étienne Marcotte, Nicolas Chapados
2021	A*	`conf`	Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting. AAAI Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
2020	J	`jnl`	Meta-learning framework with applications to zero-shot time-series forecasting. CoRR Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
2020	A*	`conf`	N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. ICLR Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
2019	—	`conf`	Learning to Learn with Conditional Class Dependencies. ICLR (Poster) Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin
2019	J	`jnl`	N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. CoRR Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
2018	J	`jnl`	Adversarially Learned Mixture Model. CoRR Andrew Jesson, Cécile Low-Kam, Florian Soudan, Nicolas Chapados
2018	J	`jnl`	CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance. CoRR Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados
2018	J	`jnl`	On the Importance of Attention in Meta-Learning for Few-Shot Text Classification. CoRR Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin
2017	—	`conf`	CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance. MICCAI (3) Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados
2016	—	`conf`	HeMIS: Hetero-Modal Image Segmentation. MICCAI (2) Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio
2016	J	`jnl`	HeMIS: Hetero-Modal Image Segmentation. CoRR Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio
2014	A*	`conf`	Effective Bayesian Modeling of Groups of Related Count Time Series. ICML Nicolas Chapados
2014	J	`jnl`	Retail store scheduling for profit. Eur. J. Oper. Res. Nicolas Chapados, Marc Joliveau, Pierre L'Ecuyer, Louis-Martin Rousseau
2012	J	`jnl`	Detonation Classification from acoustic Signature with the Restricted Boltzmann Machine. Comput. Intell. Yoshua Bengio, Nicolas Chapados, Olivier Delalleau, Hugo Larochelle, Xavier Saint-Mleux, Christian Hudon, Jérôme Louradour
2011	J	`jnl`	A high-order feature synthesis and selection algorithm applied to insurance risk modelling. Int. J. Bus. Intell. Data Min. Charles Dugas, Nicolas Chapados, Réjean Ducharme, Xavier Saint-Mleux, Pascal Vincent
2011	—	`book`	Portfolio Choice Problems - An Introductory Survey of Single and Multiperiod Models Nicolas Chapados
2011	B	`conf`	Retail Store Workforce Scheduling by Expected Operating Income Maximization. CPAIOR Nicolas Chapados, Marc Joliveau, Louis-Martin Rousseau
2008	—	`conf`	Scoring Models for Insurance Risk Sharing Pool Opimization. ICDM Workshops Nicolas Chapados, Charles Dugas, Pascal Vincent, Réjean Ducharme
2007	—	`conf`	Augmented Functional Time Series Representation and Forecasting with Gaussian Processes. NIPS Nicolas Chapados, Yoshua Bengio
2007	J	`jnl`	Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization. J. Comput. Nicolas Chapados, Yoshua Bengio
2006	—	`conf`	The Canadian AI Nicolas Chapados, Yoshua Bengio
2003	J	`jnl`	Extensions to Metric-Based Model Selection. J. Mach. Learn. Res. Yoshua Bengio, Nicolas Chapados
2002	—	`conf`	Metric-based model selection for time-series forecasting. NNSP Yoshua Bengio, Nicolas Chapados
2001	J	`jnl`	Cost functions and model combination for VaR-based asset allocation using neural networks. IEEE Trans. Neural Networks Nicolas Chapados, Yoshua Bengio
2001	—	`conf`	Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference. NIPS Nicolas Chapados, Yoshua Bengio, Pascal Vincent, Joumana Ghosn, Charles Dugas, Ichiro Takeuchi, Linyan Meng
1999	—	`conf`	A mixed-initiative natural dialogue system for conference room reservation. EUROSPEECH Claudia Pateras, Nicolas Chapados, Remi Kwan, Dominic Lavoie, Réal Tremblay