Detecting Symmetries with Neural Networks

30 March 2020

Papers citing "Detecting Symmetries with Neural Networks"

38 / 38 papers shown

Title
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
Non-Gaussianities in Collider Metric Binning Andrew J. Larkoski 52 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
SymmetryLens: A new candidate paradigm for unsupervised symmetry learning via locality and equivariance Onur Efe Arkadas Ozakin 29 0 0 07 Oct 2024
KAN 2.0: Kolmogorov-Arnold Networks Meet Science Ziming Liu Pingchuan Ma Yixuan Wang Wojciech Matusik Max Tegmark 45 61 0 19 Aug 2024
Data-driven discovery of self-similarity using neural networks Ryota Watanabe Takanori Ishii Yuji Hirono Hirokazu Maruoka 40 1 0 06 Jun 2024
A Triumvirate of AI Driven Theoretical Discovery Yang-Hui He AI4CE 42 4 0 30 May 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 Dec 2023
Deep learning complete intersection Calabi-Yau manifolds Harold Erbin Riccardo Finotello 21 5 0 20 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 24 5 0 14 Sep 2023
Exploring how a Generative AI interprets music G. Barenboim L. Debbio J. Hirn V. Sanz MGen 18 4 0 31 Jul 2023
Non-parametric Hypothesis Tests for Distributional Group Symmetry Ke-Li Chiu Benjamin Bloem-Reddy 9 7 0 28 Jul 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
Regularizing Towards Soft Equivariance Under Mixed Symmetries Hyunsung Kim Hyungi Lee Hongseok Yang Juho Lee 25 5 0 01 Jun 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
Generative Adversarial Symmetry Discovery Jianke Yang Robin G. Walters Nima Dehmamy Rose Yu GAN 19 22 0 01 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
Learning quantum symmetries with interactive quantum-classical variational algorithms Jonathan Z. Lu R. A. Bravo Kaiying Hou Gebremedhin A. Dagnew S. Yelin K. Najafi 30 3 0 23 Jun 2022
Cluster Algebras: Network Science and Machine Learning Pierre-Philippe Dechant Yang-Hui He Elli Heyes Edward Hirst 33 11 0 25 Mar 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 17 5 0 22 Feb 2022
From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook Yang-Hui He 20 5 0 12 Feb 2022
Machine-Learning the Classification of Spacetimes Yang-Hui He J. M. Ipiña 19 4 0 05 Jan 2022
Machine Learning Calabi-Yau Hypersurfaces D. Berman Yang-Hui He Edward Hirst 23 34 0 12 Dec 2021
Deep multi-task mining Calabi-Yau four-folds Harold Erbin Riccardo Finotello Robin Schneider M. Tamaazousti 35 17 0 04 Aug 2021
Nonperturbative renormalization for the neural network-QFT correspondence Harold Erbin Vincent Lahoche D. O. Samary 16 30 0 03 Aug 2021
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators Anindita Maiti Keegan Stoner James Halverson 23 20 0 01 Jun 2021
Symmetry meets AI G. Barenboim J. Hirn V. Sanz 17 21 0 10 Mar 2021
Machine-Learning Mathematical Structures Yang-Hui He 17 41 0 15 Jan 2021
Neural Network Approximations for Calabi-Yau Metrics Vishnu Jejjala D. M. Peña Challenger Mishra 24 51 0 31 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 22 0 0 04 Dec 2020
Machine Learning Lie Structures & Applications to Physics Heng-Yu Chen Yang-Hui He Shailesh Lal Suvajit Majumder AI4CE 11 21 0 02 Nov 2020
Machine Learning Calabi-Yau Four-folds Yang-Hui He A. Lukas 32 32 0 05 Sep 2020
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study Harold Erbin Riccardo Finotello 13 31 0 30 Jul 2020
Inception Neural Network for Complete Intersection Calabi-Yau 3-folds Harold Erbin Riccardo Finotello 51 27 0 27 Jul 2020
Graph Laplacians, Riemannian Manifolds and their Machine-Learning Yang-Hui He S. Yau 11 30 0 30 Jun 2020
Quiver Mutations, Seiberg Duality and Machine Learning Jiakang Bao S. Franco Yang-Hui He Edward Hirst Gregg Musiker Yan Xiao 15 40 0 18 Jun 2020
Inverse Problems, Deep Learning, and Symmetry Breaking Kshitij Tayal Chieh-Hsin Lai Vipin Kumar Ju Sun AI4CE 69 15 0 20 Mar 2020