François Charton

According to our database, François Charton authored at least 37 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Efficient Algorithm for Integer Lattice Reduction.

François Charton, Kristin E. Lauter, Cathy Yuanchen Li, Mark Tygert

SIAM J. Matrix Anal. Appl., March, 2024

Transforming the bootstrap: using transformers to compute scattering amplitudes in planar N = 4 super Yang-Mills theory.

Tianji Cai, Garrett W. Merz, François Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, Lance J. Dixon

Mach. Learn. Sci. Technol., 2024

SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.

Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter

IACR Cryptol. ePrint Arch., 2024

The cool and the cruel: separating hard parts of LWE secrets.

Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter

IACR Cryptol. ePrint Arch., 2024

Extrapolating Jet Radiation with Autoregressive Transformers.

Anja Butter, François Charton, Javier Mariño Villadamigo, Ayodele Ore, Tilman Plehn, Jonas Spinner

CoRR, 2024

PatternBoost: Constructions in Mathematics with a Little Help from AI.

François Charton, Jordan S. Ellenberg, Adam Zsolt Wagner, Geordie Williamson

CoRR, 2024

Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers.

Alberto Alfarano, François Charton, Amaury Hayat

CoRR, 2024

Emergent properties with repeated examples.

François Charton, Julia Kempe

CoRR, 2024

Only-IF:Revealing the Decisive Effect of Instruction Diversity on Generalization.

Dylan Zhang, Justin Wang, François Charton

CoRR, 2024

Is Tokenization Needed for Masked Particle Modelling?

Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy

CoRR, 2024

Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement.

Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe

CoRR, 2024

Iteration Head: A Mechanistic Study of Chain-of-Thought.

Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Alice Yang, François Charton, Julia Kempe

CoRR, 2024

From Symbolic Tasks to Code Generation: Diversification Yields Better Task Performers.

Dylan Zhang, Justin Wang, François Charton

CoRR, 2024

Instruction Diversity Drives Generalization To Unseen Tasks.

Dylan Zhang, Justin Wang, François Charton

CoRR, 2024

A Tale of Tails: Model Collapse as a Change of Scaling Laws.

Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning the greatest common divisor: explaining transformer predictions.

François Charton

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

SALSA PICANTE: a machine learning attack on LWE with binary secrets.

Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter

IACR Cryptol. ePrint Arch., 2023

SALSA VERDE: a machine learning attack on Learning with Errors with sparse small secrets.

Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Zeyuan Allen-Zhu, François Charton, Kristin E. Lauter

IACR Cryptol. ePrint Arch., 2023

Can transformers learn the greatest common divisor?

François Charton

CoRR, 2023

Length Generalization in Arithmetic Transformers.

Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, Yuhuai Wu, Yuanzhi Li, François Charton

CoRR, 2023

A mimetic approach to social influence on Instagram.

Hubert Etienne, François Charton

CoRR, 2023

SALSA VERDE: a machine learning attack on LWE with sparse small secrets.

Cathy Yuanchen Li, Emily Wenger, Zeyuan Allen-Zhu, François Charton, Kristin E. Lauter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Code Translation with Compiler Representations.

Marc Szafraniec, Baptiste Rozière, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SalsaPicante: A Machine Learning Attack on LWE with Binary Secrets.

Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Linear algebra with transformers.

François Charton

Trans. Mach. Learn. Res., 2022

SALSA: Attacking Lattice Cryptography with Transformers.

Emily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter

IACR Cryptol. ePrint Arch., 2022

Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning.

Chris Lengerich, Gabriel Synnaeve, Amy Zhang, Hugh Leather, Kurt Shuster, François Charton, Charysse Redwood

CoRR, 2022

What is my math transformer doing? - Three results on interpretability and generalization.

François Charton

CoRR, 2022

Deep Symbolic Regression for Recurrent Sequences.

Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton

CoRR, 2022

End-to-end Symbolic Regression with Transformers.

Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep symbolic regression for recurrence prediction.

Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton

Proceedings of the International Conference on Machine Learning, 2022

Leveraging Automated Unit Tests for Unsupervised Code Translation.

Baptiste Rozière, Jie Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A deep language model to predict metabolic network equilibria.

François Charton, Amaury Hayat, Sean T. McQuade, Nathaniel J. Merrill, Benedetto Piccoli

CoRR, 2021

Learning advanced mathematical computations from examples.

François Charton, Amaury Hayat, Guillaume Lample

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations.

Jean-Rémi King, François Charton, David Lopez-Paz, Maxime Oquab

NeuroImage, 2020

Deep Differential System Stability - Learning advanced computations from examples.

François Charton, Amaury Hayat, Guillaume Lample

CoRR, 2020

Deep Learning For Symbolic Mathematics.

Guillaume Lample, François Charton

Proceedings of the 8th International Conference on Learning Representations, 2020