François Charton

Deep Learning for Symbolic Mathematics

Guillaume Lample, François Charton · arXiv (Cornell University) · 2019 · 47 citations · Full text

Computing, Computer Science, Mathematics +15

Deep Symbolic Regression for Recurrent Sequences

Stéphane d’Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample et al. · arXiv (Cornell University) · 2022 · 26 citations · Full text

Computing, Computer Science, Algorithms +14

Code Translation with Compiler Representations

Marc Szafraniec, Baptiste Rozière, Hugh Leather et al. · arXiv (Cornell University) · 2022 · 18 citations · Full text

Computing, Computer Science, Compilers +9

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

Jean-Rémi King, François Charton, David López-Paz et al. · NeuroImage · 2020 · 17 citations · Full text

Public Health, Biostatistics, Neuroscience +15

Transforming the bootstrap: using transformers to compute scattering amplitudes in planar <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mrow> <mml:mi>N</mml:mi> </mml:mrow> <mml:mo>=</mml:mo> <mml:mn>4</mml:mn> </mml:mrow> </mml:math> super Yang–Mills theory

Tianji Cai, G. Merz, François Charton et al. · Machine Learning Science and Technology · 2024 · 14 citations · Full text

Natural Sciences, Physics, Computational Physics +8