Kinematically consistent recurrent neural networks for learning inverse problems in wave propagation

8 October 2021

Papers citing "Kinematically consistent recurrent neural networks for learning inverse problems in wave propagation"

5 / 5 papers shown

Title
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 79 171 0 08 Feb 2020
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations Siyu Dai Shawn Schaffert Andreas G. Hofmann 90 359 0 05 Nov 2018
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles X. Jia J. Willard Anuj Karpatne J. Read Jacob Aaron Zwart M. Steinbach Vipin Kumar PINN AI4CE 10 211 0 31 Oct 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 53 488 0 12 Apr 2018
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics C. Wehmeyer Frank Noé AI4CE BDL 140 358 0 30 Oct 2017