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Nicolas Chapados
Nicolas Chapados
ServiceNow Research & Polytechnique Montréal (adjunct)
Verified email at servicenow.com
Title
Cited by
Cited by
Year
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
BN Oreshkin, D Carpov, N Chapados, Y Bengio
arXiv preprint arXiv:1905.10437, 2019
13352019
Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model
MF Byrne, N Chapados, F Soudan, C Oertel, ML Pérez, R Kelly, N Iqbal, ...
Gut 68 (1), 94-100, 2019
6262019
Hemis: Hetero-modal image segmentation
M Havaei, N Guizard, N Chapados, Y Bengio
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
3192016
Method and apparatus for discourse management
N Chapados, PR Stubley, C Pateras, RR Tremblay
US Patent 6,356,869, 2002
1532002
Starcoder 2 and the stack v2: The next generation
A Lozhkov, R Li, LB Allal, F Cassano, J Lamy-Poirier, N Tazi, A Tang, ...
arXiv preprint arXiv:2402.19173, 2024
1472024
Meta-learning framework with applications to zero-shot time-series forecasting
BN Oreshkin, D Carpov, N Chapados, Y Bengio
Proceedings of the AAAI conference on artificial intelligence 35 (10), 9242-9250, 2021
1122021
Llm2vec: Large language models are secretly powerful text encoders
P BehnamGhader, V Adlakha, M Mosbach, D Bahdanau, N Chapados, ...
arXiv preprint arXiv:2404.05961, 2024
962024
Learning to learn with conditional class dependencies
X Jiang, M Havaei, F Varno, G Chartrand, N Chapados, S Matwin
international conference on learning representations, 2019
942019
Lag-llama: Towards foundation models for time series forecasting
K Rasul, A Ashok, AR Williams, A Khorasani, G Adamopoulos, ...
R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation …, 2023
842023
Cost functions and model combination for VaR-based asset allocation using neural networks
N Chapados, Y Bengio
IEEE Transactions on Neural Networks 12 (4), 890-906, 2001
732001
Effective Bayesian modeling of groups of related count time series
N Chapados
International conference on machine learning, 1395-1403, 2014
632014
Extensions to metric based model selection
Y Bengio, N Chapados
The Journal of Machine Learning Research 3, 1209-1227, 2003
602003
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. arXiv 2019
BN Oreshkin, D Carpov, N Chapados, Y Bengio
arXiv preprint arXiv:1905.10437, 2019
582019
CASED: curriculum adaptive sampling for extreme data imbalance
A Jesson, N Guizard, SH Ghalehjegh, D Goblot, F Soudan, N Chapados
International conference on medical image computing and computer-assisted …, 2017
492017
Retail store scheduling for profit
N Chapados, M Joliveau, P L’Ecuyer, LM Rousseau
European Journal of Operational Research 239 (3), 609-624, 2014
472014
Tactis: Transformer-attentional copulas for time series
A Drouin, É Marcotte, N Chapados
International Conference on Machine Learning, 5447-5493, 2022
452022
Estimating car insurance premia: A case study in high-dimensional data inference
N Chapados, Y Bengio, P Vincent, J Ghosn, C Dugas, I Takeuchi, L Meng
Advances in Neural Information Processing Systems 14, 2001
452001
Statistical learning algorithms applied to automobile insurance ratemaking
C Dugas, Y Bengio, N Chapados, P Vincent, G Denoncourt, C Fournier
CAS Forum 1 (1), 179-214, 2003
432003
Lag-llama: Towards foundation models for probabilistic time series forecasting
K Rasul, A Ashok, AR Williams, H Ghonia, R Bhagwatkar, A Khorasani, ...
Preprint, 2024
362024
Portfolio choice problems: An introductory survey of single and multiperiod models
N Chapados
Springer Science & Business Media, 2011
352011
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