| Deep learning for symbolic mathematics G Lample, F Charton International Conference on Learning Representations (ICLR) 2020, 2019 | 528 | 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 | 151 | 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 | 111 | 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 | 74* | 2022 |
| Code translation with compiler representations M Szafraniec, B Roziere, HLF Charton, P Labatut, G Synnaeve International conference on learning representations (ICLR) 2023, 2022 | 61 | 2022 |
| Linear algebra with transformers F Charton Transactions on Machine Learning Research (TMLR) October 2022, 2021 | 59 | 2021 |
| 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 | 35 | 2022 |
| 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 | 34 | 2024 |
| 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 | 33 | 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 |
| Learning the greatest common divisor: explaining transformer predictions F Charton The Twelfth International Conference on Learning Representations, 2024 | 15* | 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 | 14 | 2022 |
| 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 | 12 | 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 | 11 | 2023 |
| Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement Y Feng, E Dohmatob, P Yang, F Charton, J Kempe arXiv preprint arXiv:2406.07515, 2024 | 7 | 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 | 5 | 2024 |
| 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 | 5 | 2021 |
| A mimetic approach to social influence on Instagram H Etienne, F Charton Philosophy & Technology 37 (2), 1-37, 2024 | 4 | 2024 |
| Salsa fresca: Angular embeddings and pre-training for ml attacks on learning with errors S Stevens, E Wenger, C Li, N Nolte, E Saxena, F Charton, K Lauter arXiv preprint arXiv:2402.01082, 2024 | 4 | 2024 |
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