Symmetry meets AI

10 March 2021

Papers citing "Symmetry meets AI"

13 / 13 papers shown

Title
Learning symmetries in datasets Veronica Sanz DRL 21 0 0 07 Apr 2025
SymmetryLens: A new candidate paradigm for unsupervised symmetry learning via locality and equivariance Onur Efe Arkadas Ozakin 29 0 0 07 Oct 2024
Data-driven discovery of self-similarity using neural networks Ryota Watanabe Takanori Ishii Yuji Hirono Hirokazu Maruoka 40 1 0 06 Jun 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 Dec 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 24 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 25 7 0 10 Jul 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 35 10 0 10 Feb 2023
Oracle-Preserving Latent Flows Alexander Roman Roy T. Forestano Konstantin T. Matchev Katia Matcheva Eyup B. Unlu DRL 24 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 28 21 0 13 Jan 2023
Encoding Involutory Invariances in Neural Networks Anwesh Bhattacharya M. Mattheakis P. Protopapas 19 1 0 07 Jun 2021
Symmetry-driven graph neural networks Francesco Farina E. Slade 34 4 0 28 May 2021
Beyond permutation equivariance in graph networks E. Slade Francesco Farina 29 3 0 25 Mar 2021
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 205 1,019 0 26 Mar 2018