A mixed-initiative natural dialogue system for conference room reservation. - Claudia Pateras; Nicolas Chapados; Remi Kwan; Dominic Lavoie; Réal Tremblay (EUROSPEECH, 1999)

Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference. - Nicolas Chapados; Yoshua Bengio; Pascal Vincent; Joumana Ghosn; Charles Dugas; Ichiro Takeuchi; Linyan Meng (NIPS, 2001)

Cost functions and model combination for VaR-based asset allocation using neural networks. - Nicolas Chapados; Yoshua Bengio (IEEE Trans. Neural Networks, 2001)

Metric-based model selection for time-series forecasting. - Yoshua Bengio; Nicolas Chapados (NNSP, 2002)

Extensions to Metric-Based Model Selection. - Yoshua Bengio; Nicolas Chapados (J. Mach. Learn. Res., 2003)

The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization. - Nicolas Chapados; Yoshua Bengio (Canadian AI, 2006)

Augmented Functional Time Series Representation and Forecasting with Gaussian Processes. - Nicolas Chapados; Yoshua Bengio (NIPS, 2007)

Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization. - Nicolas Chapados; Yoshua Bengio (J. Comput., 2007)

Scoring Models for Insurance Risk Sharing Pool Opimization. - Nicolas Chapados; Charles Dugas; Pascal Vincent; Réjean Ducharme (ICDM Workshops, 2008)

Retail Store Workforce Scheduling by Expected Operating Income Maximization. - Nicolas Chapados; Marc Joliveau; Louis-Martin Rousseau (CPAIOR, 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 (Int. J. Bus. Intell. Data Min., 2011)

Portfolio Choice Problems - An Introductory Survey of Single and Multiperiod Models - Nicolas Chapados (Springer, 2011)

Detonation Classification from acoustic Signature with the Restricted Boltzmann Machine. - Yoshua Bengio; Nicolas Chapados; Olivier Delalleau; Hugo Larochelle; Xavier Saint-Mleux; Christian Hudon; Jérôme Louradour (Comput. Intell., 2012)

Effective Bayesian Modeling of Groups of Related Count Time Series. - Nicolas Chapados (ICML, 2014)

Retail store scheduling for profit. - Nicolas Chapados; Marc Joliveau; Pierre L'Ecuyer; Louis-Martin Rousseau (Eur. J. Oper. Res., 2014)

HeMIS: Hetero-Modal Image Segmentation. - Mohammad Havaei; Nicolas Guizard; Nicolas Chapados; Yoshua Bengio (MICCAI (2), 2016)

CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance. - Andrew Jesson; Nicolas Guizard; Sina Hamidi Ghalehjegh; Damien Goblot; Florian Soudan; Nicolas Chapados (MICCAI (3), 2017)

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification. - Xiang Jiang 001; Mohammad Havaei; Gabriel Chartrand; Hassan Chouaib; Thomas Vincent; Andrew Jesson; Nicolas Chapados; Stan Matwin (CoRR, 2018)

Adversarially Learned Mixture Model. - Andrew Jesson; Cécile Low-Kam; Florian Soudan; Nicolas Chapados (CoRR, 2018)

Learning to Learn with Conditional Class Dependencies. - Xiang Jiang 001; Mohammad Havaei; Farshid Varno; Gabriel Chartrand; Nicolas Chapados; Stan Matwin (ICLR (Poster), 2019)

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. - Boris N. Oreshkin; Dmitri Carpov; Nicolas Chapados; Yoshua Bengio (ICLR, 2020)

Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting. - Boris N. Oreshkin; Dmitri Carpov; Nicolas Chapados; Yoshua Bengio (AAAI, 2021)

TACTiS: Transformer-Attentional Copulas for Time Series. - Alexandre Drouin; Étienne Marcotte; Nicolas Chapados (ICML, 2022)

Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts. - Étienne Marcotte; Valentina Zantedeschi; Alexandre Drouin; Nicolas Chapados (ICML, 2023)

Lag-Llama: Towards Foundation Models for Time Series Forecasting. - 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; et al. (CoRR, 2023)

Capture the Flag: Uncovering Data Insights with Large Language Models. - Issam H. Laradji; Perouz Taslakian; Sai Rajeswar; Valentina Zantedeschi; Alexandre Lacoste; Nicolas Chapados; David Vázquez 001; Christopher Pal; Alexandre Drouin (CoRR, 2023)

XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. - João Monteiro 002; Étienne Marcotte; Pierre-André Noël; Valentina Zantedeschi; David Vázquez 001; Nicolas Chapados; Christopher Pal; Perouz Taslakian (EMNLP (Findings), 2024)

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. - Arjun Ashok; Étienne Marcotte; Valentina Zantedeschi; Nicolas Chapados; Alexandre Drouin (ICLR, 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 001; Nicolas Chapados; Alexandre Lacoste (ICML, 2024)

RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. - João Monteiro 002; Pierre-André Noël; Étienne Marcotte; Sai Rajeswar Mudumba; Valentina Zantedeschi; David Vázquez 001; Nicolas Chapados; Chris Pal; Perouz Taslakian (NeurIPS, 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 (NeurIPS, 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 004; Yuxiang Wei 003; Tianyang Liu 003; Max Tian; et al. (CoRR, 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; Léo Boisvert; Megh Thakkar; Quentin Cappart; David Vázquez 001; Nicolas Chapados; Alexandre Lacoste (CoRR, 2024)

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders. - Parishad BehnamGhader; Vaibhav Adlakha; Marius Mosbach; Dzmitry Bahdanau; Nicolas Chapados; Siva Reddy (CoRR, 2024)

InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. - Gaurav Sahu; Abhay Puri; Juan A. Rodríguez; Alexandre Drouin; Perouz Taslakian; Valentina Zantedeschi; Alexandre Lacoste; David Vázquez 001; Nicolas Chapados; Christopher Pal; Sai Rajeswar; Issam Hadj Laradji (CoRR, 2024)

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 (CoRR, 2024)

BigDocs: An Open and Permissively-Licensed 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; et al. (CoRR, 2024)

Dynamic Routing and Wavelength Assignment with Reinforcement Learning. - Peyman Kafaei; Quentin Cappart; Nicolas Chapados; Hamed Pouya; Louis-Martin Rousseau (INFORMS J. Optim., 2024)

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 001; Nicolas Chapados; Christopher Pal; et al. (ICLR, 2025)

The BrowserGym Ecosystem for Web Agent Research. - 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; et al. (Trans. Mach. Learn. Res., 2025)

Spaced Scheduling for Large Language Model Training. - Amine El Hattami; Nicolas Chapados; Christopher Pal (Trans. Mach. Learn. Res., 2025)

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal 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; et al. (CoRR, 2025)

Societal Alignment Frameworks Can Improve LLM Alignment. - Karolina Stanczak; Nicholas Meade; Mehar Bhatia; Hattie Zhou; Konstantin Böttinger; Jeremy Barnes 002; Jason Stanley; Jessica Montgomery; Richard S. Zemel; Nicolas Papernot; Nicolas Chapados; Denis Therien; et al. (CoRR, 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; Rabiul Awal; Nicolas Chapados; M. Tamer Özsu; Aishwarya Agrawal; David Vázquez 001; Christopher Pal; Perouz Taslakian; et al. (CoRR, 2025)

Beyond Naïve Prompting: Strategies for Improved Zero-shot Context-aided Forecasting with LLMs. - Arjun Ashok; Andrew Robert Williams; Vincent Zhihao Zheng; Irina Rish; Nicolas Chapados; Étienne Marcotte; Valentina Zantedeschi; Alexandre Drouin (CoRR, 2025)