Charton, François

25 publications

ICLR 2025 Beyond Model Collapse: Scaling up with Synthesized Data Requires Verification Yunzhen Feng, Elvis Dohmatob, Pu Yang, Francois Charton, Julia Kempe

TMLR 2025 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, Francois Charton, Kristin E. Lauter

NeurIPS 2025 TAPAS: Datasets for Learning the Learning with Errors Problem Eshika Saxena, Alberto Alfarano, Francois Charton, Emily Wenger, Kristin E. Lauter

ICML 2024 A Tale of Tails: Model Collapse as a Change of Scaling Laws Elvis Dohmatob, Yunzhen Feng, Pu Yang, Francois Charton, Julia Kempe

ICLRW 2024 A Tale of Tails: Model Collapse as a Change of Scaling Laws Yunzhen Feng, Elvis Dohmatob, Pu Yang, Francois Charton, Julia Kempe

ICMLW 2024 Beyond Model Collapse: Scaling up with Synthesized Data Requires Reinforcement Yunzhen Feng, Elvis Dohmatob, Pu Yang, Francois Charton, Julia Kempe

NeurIPSW 2024 Emergent Properties with Repeated Examples Francois Charton, Julia Kempe

NeurIPS 2024 Global Lyapunov Functions: A Long-Standing Open Problem in Mathematics, with Symbolic Transformers Alberto Alfarano, François Charton, Amaury Hayat

NeurIPSW 2024 Is Tokenization Needed for Masked Particle Modelling? Matthew Leigh, Samuel Klein, Francois Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Margarita Osadchy

NeurIPS 2024 Iteration Head: A Mechanistic Study of Chain-of-Thought Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Alice Yang, Francois Charton, Julia Kempe

ICMLW 2024 Iteration Head: A Mechanistic Study of Chain-of-Thought Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Xingyu Alice Yang, Francois Charton, Julia Kempe

ICLR 2024 Learning the Greatest Common Divisor: Explaining Transformer Predictions Francois Charton

NeurIPSW 2024 Repeated Examples Help Learn Arithmetic Francois Charton, Julia Kempe

ICLR 2023 Code Translation with Compiler Representations Marc Szafraniec, Baptiste Roziere, Hugh James Leather, Patrick Labatut, Francois Charton, Gabriel Synnaeve

NeurIPSW 2023 Discovering Lyapunov Functions with Transformers Alberto Alfarano, Francois Charton, Amaury Hayat

NeurIPSW 2023 Learning the Greatest Divisor - Explainable Predictions in Transformers Francois Charton

NeurIPS 2023 SALSA VERDE: A Machine Learning Attack on LWE with Sparse Small Secrets Cathy Li, Emily Wenger, Zeyuan Allen-Zhu, Francois Charton, Kristin E. Lauter

NeurIPSW 2023 Teaching Small Transformers to Rewrite ZX Diagrams Francois Charton, Alexandre Krajenbrink, Konstantinos Meichanetzidis, Richie Yeung

ICML 2022 Deep Symbolic Regression for Recurrence Prediction Stéphane D’Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, Francois Charton

NeurIPS 2022 End-to-End Symbolic Regression with Transformers Pierre-alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, Francois Charton

ICLR 2022 Leveraging Automated Unit Tests for Unsupervised Code Translation Baptiste Roziere, Jie Zhang, Francois Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample

TMLR 2022 Linear Algebra with Transformers Francois Charton

NeurIPS 2022 SALSA: Attacking Lattice Cryptography with Transformers Emily Wenger, Mingjie Chen, Francois Charton, Kristin E. Lauter

ICLR 2021 Learning Advanced Mathematical Computations from Examples Francois Charton, Amaury Hayat, Guillaume Lample

ICLR 2020 Deep Learning for Symbolic Mathematics Guillaume Lample, François Charton