Nicolas Chapados

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 27

Top Topics

Bayesian Modeling

Multivariate Time Series

Reinforcement Learning

Top Venues

Publications

Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier De Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. CoRR (2024)
Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. ICLR (2024)
Gaurav Sahu, Abhay Puri, Juan A. Rodriguez, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vázquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam Hadj Laradji
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. CoRR (2024)
Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau, Nicolas Chapados, Siva Reddy
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders. CoRR (2024)
João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. CoRR (2024)
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
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? CoRR (2024)
João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. CoRR (2024)
Peyman Kafaei, Quentin Cappart, Nicolas Chapados, Hamed Pouya, Louis-Martin Rousseau
Dynamic Routing and Wavelength Assignment with Reinforcement Learning. INFORMS J. Optim. 6 (1) (2024)
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.
StarCoder 2 and The Stack v2: The Next Generation. CoRR (2024)
Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. CoRR (2023)
Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts. CoRR (2023)
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
Lag-Llama: Towards Foundation Models for Time Series Forecasting. CoRR (2023)
Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts. ICML (2023)
Issam H. Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vázquez, Christopher Pal, Alexandre Drouin
Capture the Flag: Uncovering Data Insights with Large Language Models. CoRR (2023)
Alexandre Drouin, Étienne Marcotte, Nicolas Chapados
TACTiS: Transformer-Attentional Copulas for Time Series. ICML (2022)
Alexandre Drouin, Étienne Marcotte, Nicolas Chapados
TACTiS: Transformer-Attentional Copulas for Time Series. CoRR (2022)
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting. AAAI (2021)
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. ICLR (2020)
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
Meta-learning framework with applications to zero-shot time-series forecasting. CoRR (2020)
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. CoRR (2019)
Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin
Learning to Learn with Conditional Class Dependencies. ICLR (Poster) (2019)
Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance. CoRR (2018)
Andrew Jesson, Cécile Low-Kam, Florian Soudan, Nicolas Chapados
Adversarially Learned Mixture Model. CoRR (2018)
Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification. CoRR (2018)
Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance. MICCAI (3) (2017)
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio
HeMIS: Hetero-Modal Image Segmentation. MICCAI (2) (2016)
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio
HeMIS: Hetero-Modal Image Segmentation. CoRR (2016)
Nicolas Chapados, Marc Joliveau, Pierre L'Ecuyer, Louis-Martin Rousseau
Retail store scheduling for profit. Eur. J. Oper. Res. 239 (3) (2014)
Nicolas Chapados
Effective Bayesian Modeling of Groups of Related Count Time Series. ICML (2014)
Yoshua Bengio, Nicolas Chapados, Olivier Delalleau, Hugo Larochelle, Xavier Saint-Mleux, Christian Hudon, Jérôme Louradour
Detonation Classification from acoustic Signature with the Restricted Boltzmann Machine. Comput. Intell. 28 (2) (2012)
Nicolas Chapados, Marc Joliveau, Louis-Martin Rousseau
Retail Store Workforce Scheduling by Expected Operating Income Maximization. CPAIOR (2011)
Charles Dugas, Nicolas Chapados, Réjean Ducharme, Xavier Saint-Mleux, Pascal Vincent
A high-order feature synthesis and selection algorithm applied to insurance risk modelling. Int. J. Bus. Intell. Data Min. 6 (3) (2011)
Nicolas Chapados, Charles Dugas, Pascal Vincent, Réjean Ducharme
Scoring Models for Insurance Risk Sharing Pool Opimization. ICDM Workshops (2008)
Nicolas Chapados, Yoshua Bengio
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes. NIPS (2007)
Nicolas Chapados, Yoshua Bengio
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization. J. Comput. 2 (1) (2007)
Nicolas Chapados, Yoshua Bengio
Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization. Canadian Conference on AI (2006)
Yoshua Bengio, Nicolas Chapados
Extensions to Metric-Based Model Selection. J. Mach. Learn. Res. 3 (2003)
Yoshua Bengio, Nicolas Chapados
Metric-based model selection for time-series forecasting. NNSP (2002)
Nicolas Chapados, Yoshua Bengio, Pascal Vincent, Joumana Ghosn, Charles Dugas, Ichiro Takeuchi, Linyan Meng
Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference. NIPS (2001)
Nicolas Chapados, Yoshua Bengio
Cost functions and model combination for VaR-based asset allocation using neural networks. IEEE Trans. Neural Networks 12 (4) (2001)
Claudia Pateras, Nicolas Chapados, Remi Kwan, Dominic Lavoie, Réal Tremblay
A mixed-initiative natural dialogue system for conference room reservation. EUROSPEECH (1999)