François Charton

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 44

Top Topics

Social Influence

Machine Learning

Symbolic Regression

Code Generation

Top Venues

IACR Cryptol. ePrint Arch.

Publications

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 (2024)
François Charton, Kristin Lauter, Cathy Li, Mark Tygert
An Efficient Algorithm for Integer Lattice Reduction. SIAM J. Matrix Anal. Appl. 45 (1) (2024)
François Charton
Learning the greatest common divisor: explaining transformer predictions. ICLR (2024)
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)
Yunzhen Feng, Elvis Dohmatob, Pu Yang, François Charton, Julia Kempe
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement. CoRR (2024)
Elvis Dohmatob, Yunzhen Feng, Pu Yang, François Charton, Julia Kempe
A Tale of Tails: Model Collapse as a Change of Scaling Laws. CoRR (2024)
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 (2024)
Dylan Zhang, Justin Wang, François Charton
Instruction Diversity Drives Generalization To Unseen Tasks. CoRR (2024)
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 (2024)
Dylan Zhang, Justin Wang, François Charton
From Symbolic Tasks to Code Generation: Diversification Yields Better Task Performers. CoRR (2024)
Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Alice Yang, François Charton, Julia Kempe
Iteration Head: A Mechanistic Study of Chain-of-Thought. CoRR (2024)
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 (2024)
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 (2024)
Marc Szafraniec, Baptiste Rozière, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve
Code Translation with Compiler Representations. ICLR (2023)
François Charton
Can transformers learn the greatest common divisor? CoRR (2023)
Cathy 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 (2023)
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)
Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, Yuhuai Wu, Yuanzhi Li, François Charton
Length Generalization in Arithmetic Transformers. CoRR (2023)
Cathy 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 (2023)
Cathy 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 (2023)
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)
Hubert Etienne, François Charton
A mimetic approach to social influence on Instagram. CoRR (2023)
Cathy 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 (2023)
François Charton, Kristin E. Lauter, Cathy Li, Mark Tygert
An efficient algorithm for integer lattice reduction. CoRR (2023)
Baptiste Rozière, Jie Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample
Leveraging Automated Unit Tests for Unsupervised Code Translation. ICLR (2022)
Emily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter
SALSA: Attacking Lattice Cryptography with Transformers. CoRR (2022)
Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton
End-to-end Symbolic Regression with Transformers. NeurIPS (2022)
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 (2022)
Emily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter
SALSA: Attacking Lattice Cryptography with Transformers. NeurIPS (2022)
François Charton
What is my math transformer doing? - Three results on interpretability and generalization. CoRR (2022)
Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton
Deep symbolic regression for recurrence prediction. ICML (2022)
Marc Szafraniec, Baptiste Rozière, Hugh Leather, François Charton, Patrick Labatut, Gabriel Synnaeve
Code Translation with Compiler Representations. CoRR (2022)
Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton
Deep Symbolic Regression for Recurrent Sequences. CoRR (2022)
François Charton
Linear algebra with transformers. Trans. Mach. Learn. Res. 2022 (2022)
Pierre-Alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, François Charton
End-to-end symbolic regression with transformers. CoRR (2022)
Emily Wenger, Mingjie Chen, François Charton, Kristin E. Lauter
SALSA: Attacking Lattice Cryptography with Transformers. IACR Cryptol. ePrint Arch. 2022 (2022)
Baptiste Rozière, Jie M. Zhang, François Charton, Mark Harman, Gabriel Synnaeve, Guillaume Lample
Leveraging Automated Unit Tests for Unsupervised Code Translation. CoRR (2021)
François Charton, Amaury Hayat, Sean T. McQuade, Nathaniel J. Merrill, Benedetto Piccoli
A deep language model to predict metabolic network equilibria. CoRR (2021)
François Charton
Linear algebra with transformers. CoRR (2021)
François Charton, Amaury Hayat, Guillaume Lample
Learning advanced mathematical computations from examples. ICLR (2021)
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 (2020)
Guillaume Lample, François Charton
Deep Learning For Symbolic Mathematics. ICLR (2020)
François Charton, Amaury Hayat, Guillaume Lample
Deep Differential System Stability - Learning advanced computations from examples. CoRR (2020)
Guillaume Lample, François Charton
Deep Learning for Symbolic Mathematics. CoRR (2019)