Rediscovering orbital mechanics with machine learning

Rediscovering orbital mechanics with machine learning

4 February 2022

Peter W. Battaglia

Papers citing "Rediscovering orbital mechanics with machine learning"

16 / 16 papers shown

Title
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Rudy Morel Jiequn Han Edouard Oyallon AI4CE 53 0 0 28 Apr 2025
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Madhav Muthyala Farshud Sorourifar You Peng J. Paulson 46 1 0 05 Feb 2025
Generating particle physics Lagrangians with transformers Yong Sheng Koay Rikard Enberg Stefano Moretti Eliel Camargo-Molina 39 0 0 17 Jan 2025
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression N. Makke S. Chawla 49 0 0 13 Jan 2025
Decomposing heterogeneous dynamical systems with graph neural networks Cédric Allier Magdalena C. Schneider Michael Innerberger Larissa Heinrich J. Bogovic S. Saalfeld CML AI4CE 36 0 0 27 Jul 2024
A Triumvirate of AI Driven Theoretical Discovery Yang-Hui He AI4CE 40 4 0 30 May 2024
Priors for symbolic regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 29 5 0 13 Apr 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
Interpretable Scientific Discovery with Symbolic Regression: A Review N. Makke S. Chawla 22 92 0 20 Nov 2022
Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression Zhongtian Dong K. Kong Konstantin T. Matchev Katia Matcheva 40 13 0 15 Nov 2022
The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues T. Lucas Makinen Tom Charnock Pablo Lemos Natalia Porqueres A. Heavens Benjamin Dan Wandelt 20 26 0 11 Jul 2022
Towards Learning Self-Organized Criticality of Rydberg Atoms using Graph Neural Networks Simon Ohler Daniel Brady Winfried Lotzsch M. Fleischhauer Johannes Otterbach AI4CE 24 1 0 05 Jul 2022
SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning Abdulhakim Alnuqaydan S. Gleyzer Harrison B. Prosper 16 14 0 17 Jun 2022
A World-Self Model Towards Understanding Intelligence Yutao Yue 24 2 0 25 Mar 2022
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 183 83 0 12 Sep 2019
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 278 1,400 0 01 Dec 2016