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Grégoire Mialon
Grégoire Mialon
Meta AI
在 inria.fr 的电子邮件经过验证 - 首页
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The llama 3 herd of models
A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ...
arXiv preprint arXiv:2407.21783, 2024
2379*2024
Augmented language models: a survey
G Mialon, R Dessì, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ...
TMLR, 2023
5362023
A Cookbook of Self-Supervised Learning,(2023)
R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...
arXiv preprint arXiv:2304.12210, 0
475*
Graphit: Encoding graph structure in transformers
G Mialon, D Chen, M Selosse, J Mairal
arXiv preprint arXiv:2106.05667, 2021
1772021
GAIA: a benchmark for General AI Assistants
G Mialon, C Fourrier, C Swift, T Wolf, Y LeCun, T Scialom
ICLR 2024, 2023
98*2023
A kernel perspective for regularizing deep neural networks
A Bietti, G Mialon, D Chen, J Mairal
ICML 2019, 664-674, 2019
97*2019
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention
G Mialon, D Chen, A d'Aspremont, J Mairal
ICLR 2021, 2020
662020
Self-supervised learning with lie symmetries for partial differential equations
G Mialon, Q Garrido, H Lawrence, D Rehman, Y LeCun, B Kiani
Advances in Neural Information Processing Systems 36, 28973-29004, 2023
17*2023
Variance covariance regularization enforces pairwise independence in self-supervised representations
G Mialon, R Balestriero, Y LeCun
142022
Worldsense: A synthetic benchmark for grounded reasoning in large language models
Y Benchekroun, M Dervishi, M Ibrahim, JB Gaya, X Martinet, G Mialon, ...
arXiv preprint arXiv:2311.15930, 2023
9*2023
Screening data points in empirical risk minimization via ellipsoidal regions and safe loss functions
G Mialon, J Mairal, A d’Aspremont
International Conference on Artificial Intelligence and Statistics, 3610-3620, 2020
12020
On Inductive Biases for Machine Learning in Data Constrained Settings (PhD thesis)
G Mialon
arXiv preprint arXiv:2302.10692, 2022
2022
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