A simple equivariant machine learning method for dynamics based on scalars

7 October 2021

Papers citing "A simple equivariant machine learning method for dynamics based on scalars"

5 / 5 papers shown

Title
Exact conservation laws for neural network integrators of dynamical systems E. Müller PINN 34 12 0 23 Sep 2022
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds Georg Bökman Fredrik Kahl Axel Flinth 3DPC 13 19 0 30 Nov 2021
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 19 130 0 11 Jun 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 71 185 0 19 Apr 2021
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields Zun Wang Chong Wang Sibo Zhao Shiqiao Du Yong Xu B. Gu W. Duan AI4CE 21 14 0 08 Jan 2021