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ORCIDJean-Christophe Gagnon-Audet
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2020 – today
- 2024
[j4]Germán Abrevaya, Mahta Ramezanian-Panahi, Jean-Christophe Gagnon-Audet, Pablo Polosecki, Irina Rish, Silvina Ponce Dawson, Guillermo A. Cecchi, Guillaume Dumas:
Effective Latent Differential Equation Models via Attention and Multiple Shooting. Trans. Mach. Learn. Res. 2024 (2024)- 2023
- [j3]Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad-Javad Darvishi Bayazi, Pooneh Mousavi, Guillaume Dumas, Irina Rish:
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series. Trans. Mach. Learn. Res. 2023 (2023) - [i3]Germán Abrevaya, Mahta Ramezanian-Panahi, Jean-Christophe Gagnon-Audet, Irina Rish, Pablo Polosecki, Silvina Ponce Dawson, Guillermo A. Cecchi, Guillaume Dumas:
GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models. CoRR abs/2307.05735 (2023) - 2022
- [j2]Mahta Ramezanian-Panahi, Germán Abrevaya
, Jean-Christophe Gagnon-Audet, Vikram Voleti, Irina Rish, Guillaume Dumas:
Generative Models of Brain Dynamics. Frontiers Artif. Intell. 5 (2022) - [c2]Jean-Christophe Gagnon-Audet, Soroosh Shahtalebi, Frank Rudzicz, Irina Rish:
A Remedy For Distributional Shifts Through Expected Domain Translation. ICASSP 2022: 4523-4527 - [i2]Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad-Javad Darvishi Bayazi, Guillaume Dumas, Irina Rish:
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Tasks. CoRR abs/2203.09978 (2022) - 2021
- [j1]Germán Abrevaya, Guillaume Dumas, Aleksandr Y. Aravkin, Peng Zheng, Jean-Christophe Gagnon-Audet, James R. Kozloski, Pablo Polosecki, Guillaume Lajoie, David D. Cox, Silvina Ponce Dawson, Guillermo A. Cecchi, Irina Rish:
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks. Neural Comput. 33(8): 2087-2127 (2021) - [c1]Kartik Ahuja, Ethan Caballero, Dinghuai Zhang, Jean-Christophe Gagnon-Audet, Yoshua Bengio, Ioannis Mitliagkas, Irina Rish:
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization. NeurIPS 2021: 3438-3450 - [i1]Soroosh Shahtalebi, Jean-Christophe Gagnon-Audet, Touraj Laleh, Mojtaba Faramarzi, Kartik Ahuja, Irina Rish:
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization. CoRR abs/2106.02266 (2021)
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