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Grégoire Mialon
Grégoire Mialon
Meta AI
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Cited by
Cited by
Year
The llama 3 herd of models
A Grattafiori, A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, ...
arXiv preprint arXiv:2407.21783, 2024
40512024
Augmented language models: a survey
G Mialon, R Dessì, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ...
TMLR, 2023
5602023
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
498*
Graphit: Encoding graph structure in transformers
G Mialon, D Chen, M Selosse, J Mairal
arXiv preprint arXiv:2106.05667, 2021
2012021
GAIA: a benchmark for General AI Assistants
G Mialon, C Fourrier, C Swift, T Wolf, Y LeCun, T Scialom
ICLR 2024, 2023
123*2023
A kernel perspective for regularizing deep neural networks
A Bietti, G Mialon, D Chen, J Mairal
ICML 2019, 664-674, 2019
95*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
70*2020
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
20*2023
Variance covariance regularization enforces pairwise independence in self-supervised representations
G Mialon, R Balestriero, Y LeCun
arXiv preprint arXiv:2209.14905, 2022
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
10*2023
On Inductive Biases for Machine Learning in Data Constrained Settings (PhD thesis)
G Mialon
arXiv preprint arXiv:2302.10692, 2022
12022
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
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