Rediscovering orbital mechanics with machine learning

4 February 2022

Papers citing "Rediscovering orbital mechanics with machine learning"

20 / 20 papers shown

Title
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Rudy Morel Jiequn Han Edouard Oyallon AI4CE 56 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 55 1 0 05 Feb 2025
Generating particle physics Lagrangians with transformers Yong Sheng Koay Rikard Enberg Stefano Moretti Eliel Camargo-Molina 44 0 0 17 Jan 2025
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression N. Makke Sanjay Chawla 54 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 46 0 0 27 Jul 2024
A Triumvirate of AI Driven Theoretical Discovery Yang-Hui He AI4CE 48 4 0 30 May 2024
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems Stefan Kramer Mattia Cerrato S. Džeroski R. King 31 10 0 03 May 2023
Priors for symbolic regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 42 5 0 13 Apr 2023
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws Wassim Tenachi Rodrigo Ibata F. Diakogiannis AI4CE 13 71 0 06 Mar 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 36 22 0 13 Jan 2023
Interpretable Scientific Discovery with Symbolic Regression: A Review N. Makke Sanjay Chawla 38 94 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 46 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 22 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 30 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 28 14 0 17 Jun 2022
On scientific understanding with artificial intelligence Mario Krenn R. Pollice S. Guo Matteo Aldeghi Alba Cervera-Lierta ... Florian Hase A. Jinich AkshatKumar Nigam Zhenpeng Yao Alán Aspuru-Guzik 35 186 0 04 Apr 2022
A World-Self Model Towards Understanding Intelligence Yutao Yue 32 2 0 25 Mar 2022
Machine Learning and Cosmology C. Dvorkin S. Mishra-Sharma Brian D. Nord V. A. Villar Camille Avestruz ... A. Ćiprijanović Andrew J. Connolly L. Garrison G. Narayan F. Villaescusa-Navarro AI4CE 29 12 0 15 Mar 2022
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 191 84 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 283 1,401 0 01 Dec 2016