Simplifying Polylogarithms with Machine Learning

Simplifying Polylogarithms with Machine Learning

8 June 2022

Aurélien Dersy

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Papers citing "Simplifying Polylogarithms with Machine Learning"

11 / 11 papers shown

Title
A Perspective on Symbolic Machine Learning in Physical Sciences N. Makke Sanjay Chawla AI4CE 96 1 0 25 Feb 2025
Can Transformers Do Enumerative Geometry? Baran Hashemi Roderic G. Corominas Alessandro Giacchetto 542 5 0 27 Aug 2024
Learning the Simplicity of Scattering Amplitudes Clifford Cheung Aurélien Dersy Matthew D. Schwartz 78 3 0 08 Aug 2024
Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-Mills Theory Tianji Cai G. W. Merz Franccois Charton Niklas Nolte Matthias Wilhelm K. Cranmer Lance J. Dixon 178 16 0 09 May 2024
Seeking Truth and Beauty in Flavor Physics with Machine Learning Konstantin T. Matchev Katia Matcheva Pierre Ramond Sarunas Verner AI4CE 67 2 0 31 Oct 2023
Length Generalization in Arithmetic Transformers Samy Jelassi Stéphane dÁscoli Carles Domingo-Enrich Yuhuai Wu Yuan-Fang Li Franccois Charton 112 43 0 27 Jun 2023
SALSA VERDE: a machine learning attack on Learning With Errors with sparse small secrets Cathy Li Emily Wenger Zeyuan Allen-Zhu François Charton Kristin E. Lauter AAML 72 11 0 20 Jun 2023
Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles Roy T. Forestano Konstantin T. Matchev Katia Matcheva Alexander Roman Eyup B. Unlu Sarunas Verner AI4CE 102 24 0 13 Jan 2023
Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression Zhongtian Dong K. Kong Konstantin T. Matchev Katia Matcheva 85 13 0 15 Nov 2022
What is my math transformer doing? -- Three results on interpretability and generalization Franccois Charton 78 20 0 31 Oct 2022
Linear algebra with transformers Franccois Charton AIMat 108 59 0 03 Dec 2021