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ORCIDFrançois Charton
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2020 – today
- 2024
[j4]Tianji Cai
, Garrett W. Merz, François Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, Lance J. Dixon:
Transforming the bootstrap: using transformers to compute scattering amplitudes in planar N = 4 super Yang-Mills theory. Mach. Learn. Sci. Technol. 5(3): 35073 (2024)- [j3]François Charton, Kristin E. Lauter, Cathy Yuanchen Li, Mark Tygert:
An Efficient Algorithm for Integer Lattice Reduction. SIAM J. Matrix Anal. Appl. 45(1): 353-367 (2024) - [c12]Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter:
The Cool and the Cruel: Separating Hard Parts of LWE Secrets. AFRICACRYPT 2024: 428-453 - [c11]François Charton:
Learning the greatest common divisor: explaining transformer predictions. ICLR 2024 - [c10]Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe:
A Tale of Tails: Model Collapse as a Change of Scaling Laws. ICML 2024 - [i35]Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter:
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors. CoRR abs/2402.01082 (2024) - [i34]Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe:
A Tale of Tails: Model Collapse as a Change of Scaling Laws. CoRR abs/2402.07043 (2024) - [i33]Dylan Zhang, Justin Wang, François Charton:
Instruction Diversity Drives Generalization To Unseen Tasks. CoRR abs/2402.10891 (2024) - [i32]Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter:
The cool and the cruel: separating hard parts of LWE secrets. CoRR abs/2403.10328 (2024) - [i31]Tianji Cai, Garrett W. Merz, François Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, Lance J. Dixon:
Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-Mills Theory. CoRR abs/2405.06107 (2024) - [i30]Dylan Zhang, Justin Wang, François Charton:
From Symbolic Tasks to Code Generation: Diversification Yields Better Task Performers. CoRR abs/2405.19787 (2024) - [i29]Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Alice Yang, François Charton, Julia Kempe:
Iteration Head: A Mechanistic Study of Chain-of-Thought. CoRR abs/2406.02128 (2024) - [i28]Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe:
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement. CoRR abs/2406.07515 (2024) - [i27]Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy:
Is Tokenization Needed for Masked Particle Modelling? CoRR abs/2409.12589 (2024) - [i26]Dylan Zhang, Justin Wang, François Charton:
Only-IF:Revealing the Decisive Effect of Instruction Diversity on Generalization. CoRR abs/2410.04717 (2024) - [i25]François Charton, Julia Kempe:
Emergent properties with repeated examples. CoRR abs/2410.07041 (2024) - [i24]Alberto Alfarano, François Charton, Amaury Hayat:
Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers. CoRR abs/2410.08304 (2024) - [i23]François Charton, Jordan S. Ellenberg, Adam Zsolt Wagner, Geordie Williamson:
PatternBoost: Constructions in Mathematics with a Little Help from AI. CoRR abs/2411.00566 (2024) - [i22]Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter:
SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors. IACR Cryptol. ePrint Arch. 2024: 150 (2024) - [i21]Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter:
The cool and the cruel: separating hard parts of LWE secrets. IACR Cryptol. ePrint Arch. 2024: 443 (2024) - 2023
- [c9]Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter:
SalsaPicante: A Machine Learning Attack on LWE with Binary Secrets. CCS 2023: 2606-2620 - [c8]Marc Szafraniec, Baptiste Rozière, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve:
Code Translation with Compiler Representations. ICLR 2023 - [c7]Cathy Yuanchen Li, Emily Wenger, Zeyuan Allen-Zhu, François Charton, Kristin E. Lauter:
SALSA VERDE: a machine learning attack on LWE with sparse small secrets. NeurIPS 2023 - [i20]François Charton, Kristin E. Lauter, Cathy Yuanchen Li, Mark Tygert:
An efficient algorithm for integer lattice reduction. CoRR abs/2303.02226 (2023) - [i19]Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter:
SALSA PICANTE: a machine learning attack on LWE with binary secrets. CoRR abs/2303.04178 (2023) - [i18]Hubert Etienne, François Charton:
A mimetic approach to social influence on Instagram. CoRR abs/2305.04985 (2023) - [i17]Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Zeyuan Allen-Zhu, François Charton, Kristin E. Lauter:
SALSA VERDE: a machine learning attack on Learning With Errors with sparse small secrets. CoRR abs/2306.11641 (2023) - [i16]Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, Yuhuai Wu, Yuanzhi Li, François Charton:
Length Generalization in Arithmetic Transformers. CoRR abs/2306.15400 (2023) - [i15]François Charton:
Can transformers learn the greatest common divisor? CoRR abs/2308.15594 (2023) - [i14]Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter:
SALSA PICANTE: a machine learning attack on LWE with binary secrets. IACR Cryptol. ePrint Arch. 2023: 340 (2023) - [i13]Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Zeyuan Allen-Zhu, François Charton, Kristin E. Lauter:
SALSA VERDE: a machine learning attack on Learning with Errors with sparse small secrets. IACR Cryptol. ePrint Arch. 2023: 968 (2023) - 2022
- [j2]François Charton:
Linear algebra with transformers. Trans. Mach. Learn. Res. 2022 (2022) - [c6]Baptiste Rozière, Jie Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample:
Leveraging Automated Unit Tests for Unsupervised Code Translation. ICLR 2022 - [c5]Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton:
Deep symbolic regression for recurrence prediction. ICML 2022: 4520-4536 - [c4]Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton:
End-to-end Symbolic Regression with Transformers. NeurIPS 2022 - [c3]Emily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter:
SALSA: Attacking Lattice Cryptography with Transformers. NeurIPS 2022 - [i12]Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton:
Deep Symbolic Regression for Recurrent Sequences. CoRR abs/2201.04600 (2022) - [i11]Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton:
End-to-end symbolic regression with transformers. CoRR abs/2204.10532 (2022) - [i10]Marc Szafraniec, Baptiste Rozière, Hugh Leather, François Charton, Patrick Labatut, Gabriel Synnaeve:
Code Translation with Compiler Representations. CoRR abs/2207.03578 (2022) - [i9]Emily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter:
SALSA: Attacking Lattice Cryptography with Transformers. CoRR abs/2207.04785 (2022) - [i8]François Charton:
What is my math transformer doing? - Three results on interpretability and generalization. CoRR abs/2211.00170 (2022) - [i7]Chris Lengerich, Gabriel Synnaeve, Amy Zhang, Hugh Leather, Kurt Shuster, François Charton, Charysse Redwood:
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning. CoRR abs/2212.11353 (2022) - [i6]Emily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter:
SALSA: Attacking Lattice Cryptography with Transformers. IACR Cryptol. ePrint Arch. 2022: 935 (2022) - 2021
- [c2]François Charton, Amaury Hayat, Guillaume Lample:
Learning advanced mathematical computations from examples. ICLR 2021 - [i5]Baptiste Rozière, Jie M. Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample:
Leveraging Automated Unit Tests for Unsupervised Code Translation. CoRR abs/2110.06773 (2021) - [i4]François Charton:
Linear algebra with transformers. CoRR abs/2112.01898 (2021) - [i3]François Charton, Amaury Hayat, Sean T. McQuade, Nathaniel J. Merrill, Benedetto Piccoli:
A deep language model to predict metabolic network equilibria. CoRR abs/2112.03588 (2021) - 2020
- [j1]Jean-Rémi King, François Charton, David Lopez-Paz, Maxime Oquab:
Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations. NeuroImage 220: 117028 (2020) - [c1]Guillaume Lample, François Charton:
Deep Learning For Symbolic Mathematics. ICLR 2020 - [i2]François Charton, Amaury Hayat, Guillaume Lample:
Deep Differential System Stability - Learning advanced computations from examples. CoRR abs/2006.06462 (2020)
2010 – 2019
- 2019
- [i1]Guillaume Lample, François Charton:
Deep Learning for Symbolic Mathematics. CoRR abs/1912.01412 (2019)
Coauthor Index
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