Stabilizing Backpropagation Through Time to Learn Complex Physics

3 May 2024

Papers citing "Stabilizing Backpropagation Through Time to Learn Complex Physics"

5 / 5 papers shown

Title
ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations Vladislav Trifonov Alexander Rudikov Oleg Iliev Ivan V. Oseledets Ekaterina A. Muravleva Ekaterina Muravleva DiffM AI4CE 26 0 0 07 Jun 2024
Rethinking Optimization with Differentiable Simulation from a Global Perspective Rika Antonova Jingyun Yang Krishna Murthy Jatavallabhula Jeannette Bohg 76 32 0 28 Jun 2022
Physics-based Deep Learning Nils Thuerey Philipp Holl P. Holl Patrick Schnell Felix Trost Kiwon Um P. Schnell F. Trost PINN AI4CE 48 91 0 11 Sep 2021
Differentiable Molecular Simulations for Control and Learning Wujie Wang Simon Axelrod Rafael Gómez-Bombarelli AI4CE 85 49 0 27 Feb 2020
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck D. Fox PINN 3DPC AI4CE 165 161 0 15 Jun 2018