Identifying the Group-Theoretic Structure of Machine-Learned Symmetries

14 September 2023

Papers citing "Identifying the Group-Theoretic Structure of Machine-Learned Symmetries"

6 / 6 papers shown

Title
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 80 0 0 30 Mar 2025
Non-Gaussianities in Collider Metric Binning Andrew J. Larkoski 52 1 0 05 Mar 2025
Lie-Equivariant Quantum Graph Neural Networks Jogi Suda Neto Roy T. Forestano S. Gleyzer K. Kong Konstantin T. Matchev Katia Matcheva 93 0 0 22 Nov 2024
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics Md Abrar Jahin Md. Akmol Masud Md Wahiduzzaman Suva M. Mridha Nilanjan Dey 48 1 0 03 Nov 2024
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks Roy T. Forestano Marçal Comajoan Cara Gopal Ramesh Dahale Zhongtian Dong S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu GNN 26 8 0 30 Nov 2023
Machine-learning hidden symmetries Ziming Liu Max Tegmark 48 52 0 20 Sep 2021