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Jean-Christophe Gagnon-Audet
Jean-Christophe Gagnon-Audet
FAIR, Meta AI
Verified email at meta.com
Title
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Cited by
Year
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
K Ahuja, E Caballero, D Zhang, JC Gagnon-Audet, Y Bengio, I Mitliagkas, ...
Advances in Neural Information Processing Systems 34, 2021
2662021
Sand-mask: An enhanced gradient masking strategy for the discovery of invariances in domain generalization
S Shahtalebi, JC Gagnon-Audet, T Laleh, M Faramarzi, K Ahuja, I Rish
arXiv preprint arXiv:2106.02266, 2021
562021
Generative models of brain dynamics
M Ramezanian-Panahi, G Abrevaya, JC Gagnon-Audet, V Voleti, I Rish, ...
Frontiers in artificial intelligence 5, 807406, 2022
42*2022
WOODS: Benchmarks for out-of-distribution generalization in time series
JC Gagnon-Audet, K Ahuja, MJ Darvishi-Bayazi, P Mousavi, G Dumas, ...
arXiv preprint arXiv:2203.09978, 2022
402022
Learning brain dynamics with coupled low-dimensional nonlinear oscillators and deep recurrent networks
G Abrevaya, G Dumas, AY Aravkin, P Zheng, JC Gagnon-Audet, ...
Neural Computation 33 (8), 2087-2127, 2021
92021
AWE: Adaptive weight-space ensembling for few-shot fine-tuning
JC Gagnon-Audet, RP Monti, DJ Schwab
ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation …, 2023
52023
Effective Latent Differential Equation Models via Attention and Multiple Shooting
G Abrevaya, M Ramezanian-Panahi, JC Gagnon-Audet, I Rish, ...
The Symbiosis of Deep Learning and Differential Equations III, 2023
22023
GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models
G Abrevaya, M Ramezanian-Panahi, JC Gagnon-Audet, I Rish, ...
arXiv preprint arXiv:2307.05735, 2023
12023
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