Machine Learning Lie Structures & Applications to Physics

2 November 2020

Papers citing "Machine Learning Lie Structures & Applications to Physics"

8 / 8 papers shown

Title
A Triumvirate of AI Driven Theoretical Discovery Yang-Hui He AI4CE 53 4 0 30 May 2024
Discovering Sparse Representations of Lie Groups with Machine Learning Roy T. Forestano Konstantin T. Matchev Katia Matcheva Alexander Roman Eyup B. Unlu Sarunas Verner 35 10 0 10 Feb 2023
Oracle-Preserving Latent Flows Alexander Roman Roy T. Forestano Konstantin T. Matchev Katia Matcheva Eyup B. Unlu DRL 44 5 0 02 Feb 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 36 22 0 13 Jan 2023
From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook Yang-Hui He 28 5 0 12 Feb 2022
Machine learning a manifold Sean Craven Djuna Croon Daniel J. Cutting R. Houtz 17 12 0 14 Dec 2021
Baryons from Mesons: A Machine Learning Perspective Y. Gal Vishnu Jejjala D. M. Peña Challenger Mishra AI4CE 38 10 0 23 Mar 2020
Explore and Exploit with Heterotic Line Bundle Models Magdalena Larfors Robin Schneider 41 38 0 10 Mar 2020