François Charton

66 papers A* 14Journal 49Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification.
ICLR
Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe
2025 — conf
Diversification Catalyzes Language Models' Instruction Generalization To Unseen Semantics.
ACL (Findings)
Dylan Zhang, Justin Wang, François Charton
2025 J jnl
Int2Int: a framework for mathematics with transformers.
CoRR
François Charton
2025 J jnl
Is tokenization needed for masked particle modeling?
Mach. Learn. Sci. Technol.
Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy
2025 J jnl
Learning Euler Factors of Elliptic Curves.
CoRR
Angelica Babei, François Charton, Edgar Costa, Xiaoyu Huang, Kyu-Hwan Lee, David Lowry-Duda, Ashvni Narayanan, Alexey Pozdnyakov
2025 J jnl
Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic.
IACR Cryptol. ePrint Arch.
Eshika Saxena, Alberto Alfarano, François Charton, Zeyuan Allen-Zhu, Emily Wenger, Kristin E. Lauter
2025 — conf
Pangenome-Informed Language Models for Synthetic Genome Sequence Generation.
BIBM
Pengzhi Huang, François Charton, Jan-Niklas M. Schmelzle, Shelby S. Darnell, Pjotr Prins, Erik Garrison, G. Edward Suh
2025 J jnl
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.
Trans. Mach. Learn. Res.
Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
2025 J jnl
TAPAS: Datasets for Learning the Learning with Errors Problem.
CoRR
Eshika Saxena, Alberto Alfarano, François Charton, Emily Wenger, Kristin E. Lauter
2025 J jnl
TAPAS: Datasets for Learning the Learning with Errors Problem.
IACR Cryptol. ePrint Arch.
Eshika Saxena, Alberto Alfarano, François Charton, Emily Wenger, Kristin E. Lauter
2025 J jnl
Transformers know more than they can tell - Learning the Collatz sequence.
CoRR
François Charton, Ashvni Narayanan
2025 J jnl
Transforming Calabi-Yau Constructions: Generating New Calabi-Yau Manifolds with Transformers.
CoRR
Jacky H. T. Yip, Charles Arnal, François Charton, Gary Shiu
2024 A* conf
A Tale of Tails: Model Collapse as a Change of Scaling Laws.
ICML
Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe
2024 J jnl
A Tale of Tails: Model Collapse as a Change of Scaling Laws.
CoRR
Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe
2024 J jnl
An Efficient Algorithm for Integer Lattice Reduction.
SIAM J. Matrix Anal. Appl.
François Charton, Kristin E. Lauter, Cathy Yuanchen Li, Mark Tygert
2024 J jnl
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement.
CoRR
Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe
2024 J jnl
Emergent properties with repeated examples.
CoRR
François Charton, Julia Kempe
2024 J jnl
Extrapolating Jet Radiation with Autoregressive Transformers.
CoRR
Anja Butter, François Charton, Javier Mariño Villadamigo, Ayodele Ore, Tilman Plehn, Jonas Spinner
2024 J jnl
From Symbolic Tasks to Code Generation: Diversification Yields Better Task Performers.
CoRR
Dylan Zhang, Justin Wang, François Charton
2024 A* conf
Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers.
NeurIPS
Alberto Alfarano, François Charton, Amaury Hayat
2024 J jnl
Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers.
CoRR
Alberto Alfarano, François Charton, Amaury Hayat
2024 J jnl
Instruction Diversity Drives Generalization To Unseen Tasks.
CoRR
Dylan Zhang, Justin Wang, François Charton
2024 J jnl
Is Tokenization Needed for Masked Particle Modelling?
CoRR
Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy
2024 A* conf
Iteration Head: A Mechanistic Study of Chain-of-Thought.
NeurIPS
Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Xingyu Yang, François Charton, Julia Kempe
2024 J jnl
Iteration Head: A Mechanistic Study of Chain-of-Thought.
CoRR
Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Alice Yang, François Charton, Julia Kempe
2024 A* conf
Learning the greatest common divisor: explaining transformer predictions.
ICLR
François Charton
2024 J jnl
Only-IF:Revealing the Decisive Effect of Instruction Diversity on Generalization.
CoRR
Dylan Zhang, Justin Wang, François Charton
2024 J jnl
PatternBoost: Constructions in Mathematics with a Little Help from AI.
CoRR
François Charton, Jordan S. Ellenberg, Adam Zsolt Wagner, Geordie Williamson
2024 J jnl
SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.
IACR Cryptol. ePrint Arch.
Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
2024 J jnl
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.
CoRR
Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
2024 — conf
The Cool and the Cruel: Separating Hard Parts of LWE Secrets.
AFRICACRYPT
Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter
2024 J jnl
The cool and the cruel: separating hard parts of LWE secrets.
CoRR
Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter
2024 J jnl
The cool and the cruel: separating hard parts of LWE secrets.
IACR Cryptol. ePrint Arch.
Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter
2024 J jnl
Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-Mills Theory.
CoRR
Tianji Cai, Garrett W. Merz, François Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, Lance J. Dixon
2024 J jnl
Transforming the bootstrap: using transformers to compute scattering amplitudes in planar N = 4 super Yang-Mills theory.
Mach. Learn. Sci. Technol.
Tianji Cai, Garrett W. Merz, François Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, Lance J. Dixon
2023 J jnl
A mimetic approach to social influence on Instagram.
CoRR
Hubert Etienne, François Charton
2023 J jnl
An efficient algorithm for integer lattice reduction.
CoRR
François Charton, Kristin E. Lauter, Cathy Yuanchen Li, Mark Tygert
2023 J jnl
Can transformers learn the greatest common divisor?
CoRR
François Charton
2023 A* conf
Code Translation with Compiler Representations.
ICLR
Marc Szafraniec, Baptiste Rozière, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve
2023 J jnl
Length Generalization in Arithmetic Transformers.
CoRR
Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, Yuhuai Wu, Yuanzhi Li, François Charton
2023 J jnl
SALSA PICANTE: a machine learning attack on LWE with binary secrets.
CoRR
Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter
2023 J jnl
SALSA PICANTE: a machine learning attack on LWE with binary secrets.
IACR Cryptol. ePrint Arch.
Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter
2023 A* conf
SALSA VERDE: a machine learning attack on LWE with sparse small secrets.
NeurIPS
Cathy Yuanchen Li, Emily Wenger, Zeyuan Allen-Zhu, François Charton, Kristin E. Lauter
2023 J jnl
SALSA VERDE: a machine learning attack on Learning With Errors with sparse small secrets.
CoRR
Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Zeyuan Allen-Zhu, François Charton, Kristin E. Lauter
2023 J jnl
SALSA VERDE: a machine learning attack on Learning with Errors with sparse small secrets.
IACR Cryptol. ePrint Arch.
Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Zeyuan Allen-Zhu, François Charton, Kristin E. Lauter
2023 A* conf
SalsaPicante: A Machine Learning Attack on LWE with Binary Secrets.
CCS
Cathy Yuanchen Li, Jana Sotáková, Emily Wenger, Mohamed Malhou, Evrard Garcelon, François Charton, Kristin E. Lauter
2022 J jnl
Code Translation with Compiler Representations.
CoRR
Marc Szafraniec, Baptiste Rozière, Hugh Leather, François Charton, Patrick Labatut, Gabriel Synnaeve
2022 J jnl
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning.
CoRR
Chris Lengerich, Gabriel Synnaeve, Amy Zhang, Hugh Leather, Kurt Shuster, François Charton, Charysse Redwood
2022 J jnl
Deep Symbolic Regression for Recurrent Sequences.
CoRR
Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton
2022 A* conf
Deep symbolic regression for recurrence prediction.
ICML
Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton
2022 A* conf
End-to-end Symbolic Regression with Transformers.
NeurIPS
Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton
2022 J jnl
End-to-end symbolic regression with transformers.
CoRR
Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton
2022 A* conf
Leveraging Automated Unit Tests for Unsupervised Code Translation.
ICLR
Baptiste Rozière, Jie Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample
2022 J jnl
Linear algebra with transformers.
Trans. Mach. Learn. Res.
François Charton
2022 A* conf
SALSA: Attacking Lattice Cryptography with Transformers.
NeurIPS
Emily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter
2022 J jnl
SALSA: Attacking Lattice Cryptography with Transformers.
CoRR
Emily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter
2022 J jnl
SALSA: Attacking Lattice Cryptography with Transformers.
IACR Cryptol. ePrint Arch.
Emily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter
2022 J jnl
What is my math transformer doing? - Three results on interpretability and generalization.
CoRR
François Charton
2021 J jnl
A deep language model to predict metabolic network equilibria.
CoRR
François Charton, Amaury Hayat, Sean T. McQuade, Nathaniel J. Merrill, Benedetto Piccoli
2021 A* conf
Learning advanced mathematical computations from examples.
ICLR
François Charton, Amaury Hayat, Guillaume Lample
2021 J jnl
Leveraging Automated Unit Tests for Unsupervised Code Translation.
CoRR
Baptiste Rozière, Jie M. Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample
2021 J jnl
Linear algebra with transformers.
CoRR
François Charton
2020 J jnl
Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations.
NeuroImage
Jean-Rémi King, François Charton, David Lopez-Paz, Maxime Oquab
2020 J jnl
Deep Differential System Stability - Learning advanced computations from examples.
CoRR
François Charton, Amaury Hayat, Guillaume Lample
2020 A* conf
Deep Learning For Symbolic Mathematics.
ICLR
Guillaume Lample, François Charton
2019 J jnl
Deep Learning for Symbolic Mathematics.
CoRR
Guillaume Lample, François Charton