Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles

13 January 2023

Roy T. Forestano

Konstantin T. Matchev

Papers citing "Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles"

21 / 21 papers shown

Title
AtlasD: Automatic Local Symmetry Discovery Manu Bhat Jonghyun Park Jianke Yang Nima Dehmamy Robin G. Walters Rose Yu 21 0 0 15 Apr 2025
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 75 0 0 30 Mar 2025
Deep Learning based discovery of Integrable Systems Shailesh Lal Suvajit Majumder E. Sobko 41 0 0 13 Mar 2025
Non-Gaussianities in Collider Metric Binning Andrew J. Larkoski 47 1 0 05 Mar 2025
Learning finite symmetry groups of dynamical systems via equivariance detection Pablo Calvo-Barlés Sergio G. Rodrigo Luis Martín-Moreno 50 0 0 04 Mar 2025
Lie-Equivariant Quantum Graph Neural Networks Jogi Suda Neto Roy T. Forestano S. Gleyzer K. Kong Konstantin T. Matchev Katia Matcheva 82 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 46 1 0 03 Nov 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data Gyeonghoon Ko Hyunsu Kim Juho Lee 26 1 0 29 Oct 2024
SymmetryLens: A new candidate paradigm for unsupervised symmetry learning via locality and equivariance Onur Efe Arkadas Ozakin 16 0 0 07 Oct 2024
Optimal Potential Shaping on SE(3) via Neural ODEs on Lie Groups Yannik P. Wotte Federico Califano Stefano Stramigioli AI4CE 13 1 0 25 Jan 2024
A charge-preserving method for solving graph neural diffusion networks Lidia Aceto Pietro Antonio Grassi 14 0 0 16 Dec 2023
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 19 8 0 30 Nov 2023
Identifying the Group-Theoretic Structure of Machine-Learned Symmetries Roy T. Forestano Konstantin T. Matchev Katia Matcheva Alexander Roman Eyup B. Unlu Sarunas Verner 13 5 0 14 Sep 2023
Accelerated Discovery of Machine-Learned Symmetries: Deriving the Exceptional Lie Groups G2, F4 and E6 Roy T. Forestano Konstantin T. Matchev Katia Matcheva Alexander Roman Eyup B. Unlu Sarunas Verner 17 7 0 10 Jul 2023
The R-mAtrIx Net Shailesh Lal Suvajit Majumder E. Sobko 13 5 0 14 Apr 2023
Discovering Sparse Representations of Lie Groups with Machine Learning Roy T. Forestano Konstantin T. Matchev Katia Matcheva Alexander Roman Eyup B. Unlu Sarunas Verner 16 9 0 10 Feb 2023
Oracle-Preserving Latent Flows Alexander Roman Roy T. Forestano Konstantin T. Matchev Katia Matcheva Eyup B. Unlu DRL 14 5 0 02 Feb 2023
Symbolic Expression Transformer: A Computer Vision Approach for Symbolic Regression Jiachen Li Ye Yuan Hongze Shen 15 7 0 24 May 2022
Machine-learning hidden symmetries Ziming Liu Max Tegmark 40 52 0 20 Sep 2021
Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks M. Fenton Alexander Shmakov Ta-Wei Ho S. Hsu D. Whiteson Pierre Baldi 34 37 0 19 Oct 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 419 0 10 Mar 2020