MC-LSTM: Mass-Conserving LSTM

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MC-LSTM: Mass-Conserving LSTM

13 January 2021

Pieter-Jan Hoedt

Frederik Kratzert

Christina Halmich

Markus Holzleitner

Sepp Hochreiter

Günter Klambauer

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

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Title
A Deep State Space Model for Rainfall-Runoff Simulations Yihan Wang Lujun Zhang Annan Yu N. Benjamin Erichson Tiantian Yang 121 1 0 28 Jan 2025
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach Mohammed Amine Gharsallaoui Bhupinderjeet Singh Supriya Savalkar Aryan Deshwal Yan Yan Ananth Kalyanaraman Kirti Rajagopalan J. Doppa AI4CE 77 1 0 31 May 2024
Toward Routing River Water in Land Surface Models with Recurrent Neural Networks Mauricio Lima Katherine Deck Oliver R. A. Dunbar Tapio Schneider AI4CE 72 1 0 22 Apr 2024
Geometry-Informed Neural Networks Arturs Berzins Andreas Radler Sebastian Sanokowski Sepp Hochreiter Johannes Brandstetter GAN AI4CE 88 4 0 21 Feb 2024
Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological Modeling using the Mass-Conserving-Perceptron Yuan-Heng Wang Hoshin V. Gupta AI4CE 153 3 0 25 Jan 2024
Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model Hao Wu Yuxuan Liang Wei Xiong Zhengyang Zhou Wei-Ming Huang Shilong Wang Kun Wang AI4TS 111 10 0 13 Dec 2023
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 143 10 0 08 Oct 2023
Multiple View Performers for Shape Completion David Watkins-Valls Peter K. Allen K. Choromanski Jacob Varley Nicholas R. Waytowich 51 1 0 13 Sep 2022
Accelerating hydrodynamic simulations of urban drainage systems with physics-guided machine learning Rocco Palmitessa M. Grum A. Engsig-Karup Roland Löwe AI4CE 62 20 0 24 May 2022
Learning Trajectories of Hamiltonian Systems with Neural Networks Katsiaryna Haitsiukevich Alexander Ilin 55 4 0 11 Apr 2022
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 42 3 0 29 Mar 2022