Is the Machine Smarter than the Theorist: Deriving Formulas for Particle
Kinematics with Symbolic Regression

Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression

15 November 2022

Konstantin T. Matchev

Papers citing "Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression"

9 / 9 papers shown

Title
Quantum Vision Transformers for Quark-Gluon Classification Marçal Comajoan Cara Gopal Ramesh Dahale Zhongtian Dong Roy T. Forestano S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu 33 9 0 16 May 2024
Exploring the Truth and Beauty of Theory Landscapes with Machine Learning Konstantin T. Matchev Katia Matcheva Pierre Ramond Sarunas Verner 25 2 0 21 Jan 2024
Seeking Truth and Beauty in Flavor Physics with Machine Learning Konstantin T. Matchev Katia Matcheva Pierre Ramond Sarunas Verner AI4CE 13 2 0 31 Oct 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 23 21 0 13 Jan 2023
Symbolic Expression Transformer: A Computer Vision Approach for Symbolic Regression Jiachen Li Ye Yuan Hongze Shen 20 7 0 24 May 2022
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 177 83 0 12 Sep 2019
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 236 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 258 1,394 0 01 Dec 2016