Machine-learning hidden symmetries

20 September 2021

Papers citing "Machine-learning hidden symmetries"

27 / 27 papers shown

Title
Do Two AI Scientists Agree? Xinghong Fu Ziming Liu Max Tegmark 29 0 0 03 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 38 0 0 13 Mar 2025
Learning finite symmetry groups of dynamical systems via equivariance detection Pablo Calvo-Barlés Sergio G. Rodrigo Luis Martín-Moreno 43 0 0 04 Mar 2025
Learning Infinitesimal Generators of Continuous Symmetries from Data Gyeonghoon Ko Hyunsu Kim Juho Lee 24 1 0 29 Oct 2024
Governing equation discovery of a complex system from snapshots Qunxi Zhu Bolin Zhao Jingdong Zhang Peiyang Li Wei Lin 21 1 0 22 Oct 2024
KAN 2.0: Kolmogorov-Arnold Networks Meet Science Ziming Liu Pingchuan Ma Yixuan Wang Wojciech Matusik Max Tegmark 37 60 0 19 Aug 2024
Scalable learning of potentials to predict time-dependent Hartree-Fock dynamics Harish S. Bhat Prachi Gupta Christine M Isborn 20 1 0 08 Aug 2024
Symmetry-Informed Governing Equation Discovery Jianke Yang Wang Rao Nima Dehmamy Robin G. Walters Rose Yu 21 0 0 27 May 2024
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning Achref Jaziri Sina Ditzel Iuliia Pliushch Visvanathan Ramesh SSL 23 1 0 22 Nov 2023
A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data Tapas Tripura Souvik Chakraborty 23 3 0 10 Oct 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 8 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 15 2 0 10 Jul 2023
The R-mAtrIx Net Shailesh Lal Suvajit Majumder E. Sobko 8 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 14 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
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 13 21 0 13 Jan 2023
Metalearning generalizable dynamics from trajectories Qiaofeng Li Tianyi Wang V. Roychowdhury M. Jawed AI4CE 25 10 0 03 Jan 2023
Data Science and Machine Learning in Education G. Benelli Thomas Y. Chen Javier Mauricio Duarte Matthew Feickert Matthew Graham ... K. Terao S. Thais A. Roy J. Vlimant G. Chachamis AI4CE 15 5 0 19 Jul 2022
Simplifying Polylogarithms with Machine Learning Aurélien Dersy M. Schwartz Xiao-Yan Zhang AI4CE 13 16 0 08 Jun 2022
Learning Linear Symmetries in Data Using Moment Matching Colin Hagemeyer 17 1 0 04 Apr 2022
Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing W. A. S. Barbosa D. Gauthier 17 32 0 24 Mar 2022
AI Poincaré 2.0: Machine Learning Conservation Laws from Differential Equations Ziming Liu Varun Madhavan M. Tegmark PINN 20 27 0 23 Mar 2022
Machine-Learning the Classification of Spacetimes Yang-Hui He J. M. Ipiña 11 4 0 05 Jan 2022
Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks Mirko Goldmann C. Mirasso Ingo Fischer Miguel C. Soriano AI4CE 14 7 0 05 Nov 2021
Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning Ziming Liu Yunyue Chen Yuanqi Du Max Tegmark PINN AI4CE 29 22 0 28 Sep 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 364 0 10 Mar 2020