Work

MC-LSTM: Mass-Conserving LSTM

Year: 2021

Type: preprint

Abstract: Conference paper submitted to ICLR 2021.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2101.05186

Authors: Hoedt, Pieter-Jan, Kratzert, Frederik, Klotz, Daniel, Halmich, Christina, Holzleitner, Markus, Nearing, Grey, Hochreiter, Sepp, Klambauer, Günter

Institutions: Johannes Kepler University of Linz, Google (United States), Institute of Advanced Research in Artificial Intelligence

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: Nvidia, Horizon 2020 Framework Programme

Awards: G1125750768, G1389156122, G1829457474, G5178217691

OpenAlex ID: W3119096943

Cites: 93

Cited by: 111

Related to: 20