Deep learning for symbolic mathematics G Lample, F Charton International Conference on Learning Representations (ICLR) 2020, 2019 | 315 | 2019 |
Deep symbolic regression for recurrence prediction S d’Ascoli, PA Kamienny, G Lample, F Charton International Conference on Machine Learning, 4520-4536, 2022 | 35* | 2022 |
End-to-end symbolic regression with transformers PA Kamienny, S d'Ascoli, G Lample, F Charton Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) 2022, 2022 | 29 | 2022 |
Leveraging automated unit tests for unsupervised code translation B Roziere, JM Zhang, F Charton, M Harman, G Synnaeve, G Lample International Conference on Learning Representations (ICLR) 2022, 2021 | 25 | 2021 |
Learning advanced mathematical computations from examples F Charton, A Hayat, G Lample International Conference on Learning Representations (ICLR) 2021, 2020 | 23* | 2020 |
Linear algebra with transformers F Charton Transactions on Machine Learning Rresearch (TMLR) October 2022, 2021 | 14 | 2021 |
Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations JR King, F Charton, D Lopez-Paz, M Oquab NeuroImage 220, 117028, 2020 | 13* | 2020 |
SALSA: Attacking Lattice Cryptography with Transformers E Wenger, M Chen, F Charton, K Lauter Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) 2022, 2022 | 8 | 2022 |
Code translation with compiler representations M Szafraniec, B Roziere, HLF Charton, P Labatut, G Synnaeve International conference on learning representations (ICLR) 2023, 2022 | 2 | 2022 |
A deep language model to predict metabolic network equilibria F Charton, A Hayat, ST McQuade, NJ Merrill, B Piccoli arXiv preprint arXiv:2112.03588, 2021 | 2 | 2021 |
What is my math transformer doing?--Three results on interpretability and generalization F Charton MATH-AI Workshop NeurIPS 2023, 2022 | 1 | 2022 |
A mimetic approach to social influence on Instagram H Etienne, F Charton arXiv preprint arXiv:2305.04985, 2023 | | 2023 |
SALSA PICANTE: a machine learning attack on LWE with binary secrets C Li, J Sotáková, E Wenger, M Malhou, E Garcelon, F Charton, K Lauter arXiv preprint arXiv:2303.04178, 2023 | | 2023 |
An efficient algorithm for integer lattice reduction F Charton, K Lauter, C Li, M Tygert arXiv preprint arXiv:2303.02226, 2023 | | 2023 |
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning C Lengerich, G Synnaeve, A Zhang, H Leather, K Shuster, F Charton, ... arXiv preprint arXiv:2212.11353, 2022 | | 2022 |