François Charton

Orcid: 0000-0002-5912-3342

According to our database1, François Charton authored at least 26 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Efficient Algorithm for Integer Lattice Reduction.
SIAM J. Matrix Anal. Appl., March, 2024

SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.
IACR Cryptol. ePrint Arch., 2024

The cool and the cruel: separating hard parts of LWE secrets.
CoRR, 2024

Instruction Diversity Drives Generalization To Unseen Tasks.
CoRR, 2024

A Tale of Tails: Model Collapse as a Change of Scaling Laws.
CoRR, 2024

2023
SALSA PICANTE: a machine learning attack on LWE with binary secrets.
IACR Cryptol. ePrint Arch., 2023

SALSA VERDE: a machine learning attack on Learning with Errors with sparse small secrets.
IACR Cryptol. ePrint Arch., 2023

Can transformers learn the greatest common divisor?
CoRR, 2023

Length Generalization in Arithmetic Transformers.
CoRR, 2023

A mimetic approach to social influence on Instagram.
CoRR, 2023

SALSA VERDE: a machine learning attack on LWE with sparse small secrets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Code Translation with Compiler Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SalsaPicante: A Machine Learning Attack on LWE with Binary Secrets.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
Linear algebra with transformers.
Trans. Mach. Learn. Res., 2022

SALSA: Attacking Lattice Cryptography with Transformers.
IACR Cryptol. ePrint Arch., 2022

Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning.
CoRR, 2022

What is my math transformer doing? - Three results on interpretability and generalization.
CoRR, 2022

Deep Symbolic Regression for Recurrent Sequences.
CoRR, 2022

End-to-end Symbolic Regression with Transformers.
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.
Proceedings of the International Conference on Machine Learning, 2022

Leveraging Automated Unit Tests for Unsupervised Code Translation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
A deep language model to predict metabolic network equilibria.
CoRR, 2021

Learning advanced mathematical computations from examples.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations.
NeuroImage, 2020

Deep Differential System Stability - Learning advanced computations from examples.
CoRR, 2020

Deep Learning For Symbolic Mathematics.
Proceedings of the 8th International Conference on Learning Representations, 2020


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