Nicolas Chapados

According to our database, Nicolas Chapados authored at least 30 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Dynamic Routing and Wavelength Assignment with Reinforcement Learning.

Peyman Kafaei, Quentin Cappart, Nicolas Chapados, Hamed Pouya, Louis-Martin Rousseau

INFORMS J. Optim., January, 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, Nicolas Chapados, Alexandre Lacoste

CoRR, 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 J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.

CoRR, 2024

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, Christopher Pal, Alexandre Drouin

CoRR, 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, Nicolas Chapados, Yuriy Nevmyvaka, Irina Rish

CoRR, 2023

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series.

Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin

CoRR, 2023

Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts.

Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados

Proceedings of the International Conference on Machine Learning, 2023

2022

TACTiS: Transformer-Attentional Copulas for Time Series.

Alexandre Drouin, Étienne Marcotte, Nicolas Chapados

Proceedings of the International Conference on Machine Learning, 2022

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, 2021

2020

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Learning to Learn with Conditional Class Dependencies.

Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Adversarially Learned Mixture Model.

Andrew Jesson, Cécile Low-Kam, Florian Soudan, Nicolas Chapados

CoRR, 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

CoRR, 2018

2017

CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance.

Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

HeMIS: Hetero-Modal Image Segmentation.

Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2014

Retail store scheduling for profit.

Nicolas Chapados, Marc Joliveau, Pierre L'Ecuyer, Louis-Martin Rousseau

Eur. J. Oper. Res., 2014

Effective Bayesian Modeling of Groups of Related Count Time Series.

Nicolas Chapados

Proceedings of the 31th International Conference on Machine Learning, 2014

2012

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

2011

Portfolio Choice Problems - An Introductory Survey of Single and Multiperiod Models

Nicolas Chapados

Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-1-4614-0577-1, 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

Retail Store Workforce Scheduling by Expected Operating Income Maximization.

Nicolas Chapados, Marc Joliveau, Louis-Martin Rousseau

Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2011

2008

Scoring Models for Insurance Risk Sharing Pool Opimization.

Nicolas Chapados, Charles Dugas, Pascal Vincent, Réjean Ducharme

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization.

Nicolas Chapados, Yoshua Bengio

J. Comput., 2007

Augmented Functional Time Series Representation and Forecasting with Gaussian Processes.

Nicolas Chapados, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

The <i>K</i> Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization.

Nicolas Chapados, Yoshua Bengio

Proceedings of the Advances in Artificial Intelligence, 2006

2003

Extensions to Metric-Based Model Selection.

Yoshua Bengio, Nicolas Chapados

J. Mach. Learn. Res., 2003

2002

Metric-based model selection for time-series forecasting.

Yoshua Bengio, Nicolas Chapados

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

2001

Cost functions and model combination for VaR-based asset allocation using neural networks.

Nicolas Chapados, Yoshua Bengio

IEEE Trans. Neural Networks, 2001

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

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

1999

A mixed-initiative natural dialogue system for conference room reservation.

Claudia Pateras, Nicolas Chapados, Remi Kwan, Dominic Lavoie, Réal Tremblay

Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999