Machine-Learning Non-Conservative Dynamics for New-Physics Detection

31 May 2021

Papers citing "Machine-Learning Non-Conservative Dynamics for New-Physics Detection"

8 / 8 papers shown

Title
A Triumvirate of AI Driven Theoretical Discovery Yang-Hui He AI4CE 42 4 0 30 May 2024
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 52 55 0 10 Oct 2023
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks S. Bishnoi Ravinder Bhattoo J. Jayadeva Sayan Ranu N. M. A. Krishnan PINN AI4CE 34 1 0 11 Jul 2023
Deconstructing the Inductive Biases of Hamiltonian Neural Networks Nate Gruver Marc Finzi Samuel Stanton A. Wilson AI4CE 13 39 0 10 Feb 2022
SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du He Zhang Yuanqi Du Qi Meng Wei-Neng Chen Bin Shao Tie-Yan Liu 48 79 0 26 Oct 2021
Machine-learning hidden symmetries Ziming Liu Max Tegmark 40 52 0 20 Sep 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 130 422 0 10 Mar 2020
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