Francois Charton
Francois Charton
Research engineer, FAIR, Meta
Verified email at
Cited by
Cited by
Deep learning for symbolic mathematics
G Lample, F Charton
International Conference on Learning Representations (ICLR) 2020, 2019
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
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
Deep symbolic regression for recurrence prediction
S d’Ascoli, PA Kamienny, G Lample, F Charton
International Conference on Machine Learning, ICML, 2022, 4520-4536, 2022
Linear algebra with transformers
F Charton
Transactions on Machine Learning Research (TMLR) October 2022, 2021
Code translation with compiler representations
M Szafraniec, B Roziere, HLF Charton, P Labatut, G Synnaeve
International conference on learning representations (ICLR) 2023, 2022
Learning advanced mathematical computations from examples
F Charton, A Hayat, G Lample
International Conference on Learning Representations (ICLR) 2021, 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
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
Length generalization in arithmetic transformers
S Jelassi, S d'Ascoli, C Domingo-Enrich, Y Wu, Y Li, F Charton
arXiv preprint arXiv:2306.15400, 2023
A tale of tails: Model collapse as a change of scaling laws
E Dohmatob, Y Feng, P Yang, F Charton, J Kempe
arXiv preprint arXiv:2402.07043, 2024
What is my math transformer doing?--Three results on interpretability and generalization
F Charton
The 2nd Workshop on Mathematical Reasoning and AI at NeurIPS'22, 2022
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
The thirtieth ACM Conference on Computer and Communications Security (CCS) 2023, 2023
Learning the greatest common divisor: explaining transformer predictions
F Charton
The Twelfth International Conference on Learning Representations, 2024
SALSA VERDE: a machine learning attack on LWE with sparse small secrets
CY Li, E Wenger, Z Allen-Zhu, F Charton, KE Lauter
Thirty-seventh Conference on Neural Information Processing Systems, 2024, 2023
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
An efficient algorithm for integer lattice reduction
F Charton, K Lauter, C Li, M Tygert
SIAM Journal on Matrix Analysis and Applications 45 (1), 2024
A mimetic approach to social influence on Instagram
H Etienne, F Charton
Philosophy & Technology 37 (2), 1-37, 2024
The cool and the cruel: separating hard parts of LWE secrets
N Nolte, M Malhou, E Wenger, S Stevens, C Li, F Charton, K Lauter
International Conference on Cryptology in Africa, 428-453, 2024
Transforming the bootstrap: Using transformers to compute scattering amplitudes in planar n= 4 super yang-mills theory
T Cai, GW Merz, F Charton, N Nolte, M Wilhelm, K Cranmer, LJ Dixon
arXiv preprint arXiv:2405.06107, 2024
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