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Nicolas Chapados
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2020 – today
- 2024
- [j7]Peyman Kafaei
, Quentin Cappart
Dynamic Routing and Wavelength Assignment with Reinforcement Learning. INFORMS J. Optim. 6(1): 1-18 (2024) - [c18]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. EMNLP (Findings) 2024: 15284-15302 - [c17]Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin:
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. ICLR 2024 - [c16]Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vázquez, Nicolas Chapados, Alexandre Lacoste:
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks? ICML 2024 - [i18]Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu
StarCoder 2 and The Stack v2: The Next Generation. CoRR abs/2402.19173 (2024) - [i17]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 abs/2403.07718 (2024) - [i16]Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, Dzmitry Bahdanau, Nicolas Chapados, Siva Reddy:
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders. CoRR abs/2404.05961 (2024) - [i15]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 abs/2404.15420 (2024) - [i14]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 abs/2406.11811 (2024) - [i13]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 abs/2407.05291 (2024) - [i12]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 abs/2407.06423 (2024) - 2023
- [c15]Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados:
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts. ICML 2023: 23958-24004 - [i11]Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados:
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts. CoRR abs/2304.09836 (2023) - [i10]Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin:
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. CoRR abs/2310.01327 (2023) - [i9]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 abs/2310.08278 (2023) - [i8]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 abs/2312.13876 (2023) - 2022
- [c14]Alexandre Drouin, Étienne Marcotte, Nicolas Chapados:
TACTiS: Transformer-Attentional Copulas for Time Series. ICML 2022: 5447-5493 - [i7]Alexandre Drouin, Étienne Marcotte, Nicolas Chapados:
TACTiS: Transformer-Attentional Copulas for Time Series. CoRR abs/2202.03528 (2022) - 2021
- [c13]Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio:
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting. AAAI 2021: 9242-9250 - 2020
- [c12]Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio:
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. ICLR 2020 - [i6]Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio:
Meta-learning framework with applications to zero-shot time-series forecasting. CoRR abs/2002.02887 (2020)
2010 – 2019
- 2019
- [c11]Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin:
Learning to Learn with Conditional Class Dependencies. ICLR (Poster) 2019 - [i5]Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio:
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. CoRR abs/1905.10437 (2019) - 2018
- [i4]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 abs/1806.00852 (2018) - [i3]Andrew Jesson, Cécile Low-Kam, Florian Soudan, Nicolas Chapados:
Adversarially Learned Mixture Model. CoRR abs/1807.05344 (2018) - [i2]Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados:
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance. CoRR abs/1807.10819 (2018) - 2017
- [c10]Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados:
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance. MICCAI (3) 2017: 639-646 - 2016
- [c9]Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio:
HeMIS: Hetero-Modal Image Segmentation. MICCAI (2) 2016: 469-477 - [i1]Mohammad Havaei, Nicolas Guizard, Nicolas Chapados, Yoshua Bengio:
HeMIS: Hetero-Modal Image Segmentation. CoRR abs/1607.05194 (2016) - 2014
- [j6]Nicolas Chapados, Marc Joliveau, Pierre L'Ecuyer
Retail store scheduling for profit. Eur. J. Oper. Res. 239(3): 609-624 (2014) - [c8]Nicolas Chapados:
Effective Bayesian Modeling of Groups of Related Count Time Series. ICML 2014: 1395-1403 - 2012
- [j5]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): 261-288 (2012) - 2011
- [b1]Nicolas Chapados:
Portfolio Choice Problems - An Introductory Survey of Single and Multiperiod Models. Springer Briefs in Electrical and Computer Engineering, Springer 2011, ISBN 978-1-4614-0576-4, pp. i-xi, 1-96 - [j4]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): 237-258 (2011) - [c7]Nicolas Chapados, Marc Joliveau, Louis-Martin Rousseau:
Retail Store Workforce Scheduling by Expected Operating Income Maximization. CPAIOR 2011: 53-58
2000 – 2009
- 2008
- [c6]Nicolas Chapados, Charles Dugas, Pascal Vincent, Réjean Ducharme:
Scoring Models for Insurance Risk Sharing Pool Opimization. ICDM Workshops 2008: 97-105 - 2007
- [j3]Nicolas Chapados, Yoshua Bengio:
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization. J. Comput. 2(1): 12-19 (2007) - [c5]Nicolas Chapados, Yoshua Bengio:
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes. NIPS 2007: 265-272 - 2006
- [c4]Nicolas Chapados, Yoshua Bengio:
The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization. Canadian AI 2006: 491-502 - 2003
- [j2]Yoshua Bengio, Nicolas Chapados:
Extensions to Metric-Based Model Selection. J. Mach. Learn. Res. 3: 1209-1227 (2003) - 2002
- [c3]Yoshua Bengio, Nicolas Chapados:
Metric-based model selection for time-series forecasting. NNSP 2002: 13-22 - 2001
- [j1]Nicolas Chapados, Yoshua Bengio:
Cost functions and model combination for VaR-based asset allocation using neural networks. IEEE Trans. Neural Networks 12(4): 890-906 (2001) - [c2]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: 1369-1376
1990 – 1999
- 1999
- [c1]Claudia Pateras, Nicolas Chapados, Remi Kwan, Dominic Lavoie, Réal Tremblay:
A mixed-initiative natural dialogue system for conference room reservation. EUROSPEECH 1999: 1275-1278
Coauthor Index
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