Deep learning for symbolic mathematics G Lample, F Charton
International Conference on Learning Representations (ICLR) 2020, 2019
561 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
184 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
125 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
79 * 2022 Code translation with compiler representations M Szafraniec, B Roziere, HLF Charton, P Labatut, G Synnaeve
International conference on learning representations (ICLR) 2023, 2022
76 2022 Linear algebra with transformers F Charton
Transactions on Machine Learning Research (TMLR) October 2022, 2021
67 2021 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
52 2024 Learning advanced mathematical computations from examples F Charton, A Hayat, G Lample
International Conference on Learning Representations (ICLR) 2021, 2020
42 * 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
39 2022 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
35 2023 Learning the greatest common divisor: explaining transformer predictions F Charton
arXiv preprint arXiv:2308.15594, 2023
23 * 2023 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
22 * 2020 Transforming the bootstrap: using transformers to compute scattering amplitudes in planar T Cai, GW Merz, F Charton, N Nolte, M Wilhelm, K Cranmer, LJ Dixon
Machine Learning: Science and Technology 5 (3), 035073, 2024
17 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
17 2022 Beyond model collapse: Scaling up with synthesized data requires reinforcement Y Feng, E Dohmatob, P Yang, F Charton, J Kempe
ICML 2024 Workshop on Theoretical Foundations of Foundation Models, 2024
16 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
14 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
The thirtieth ACM Conference on Computer and Communications Security (CCS) 2023, 2023
12 2023 Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers A Alfarano, F Charton, A Hayat
Advances in Neural Information Processing Systems 37, 93643-93670, 2025
10 2025 Iteration head: A mechanistic study of chain-of-thought V Cabannes, C Arnal, W Bouaziz, X Yang, F Charton, J Kempe
Advances in Neural Information Processing Systems 37, 109101-109122, 2025
6 2025 PatternBoost: Constructions in mathematics with a little help from AI F Charton, JS Ellenberg, AZ Wagner, G Williamson
arXiv preprint arXiv:2411.00566, 2024
5 2024 
Guillaume LampleMistral AIΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα mistral.ai
