MC-LSTM: Mass-Conserving LSTM

13 January 2021

Papers citing "MC-LSTM: Mass-Conserving LSTM"

7 / 7 papers shown

Title
A Deep State Space Model for Rainfall-Runoff Simulations Yihan Wang Lujun Zhang Annan Yu N. Benjamin Erichson Tiantian Yang 51 1 0 28 Jan 2025
Toward Routing River Water in Land Surface Models with Recurrent Neural Networks Mauricio Lima Katherine Deck Oliver R. A. Dunbar Tapio Schneider AI4CE 23 1 0 22 Apr 2024
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 20 10 0 08 Oct 2023
A single Long Short-Term Memory network for enhancing the prediction of path-dependent plasticity with material heterogeneity and anisotropy Eshan Motevali Haghighi S. Na 17 3 0 29 Mar 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 176 1,111 0 27 Apr 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 139 424 0 10 Mar 2020
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 152 220 0 29 Sep 2019