Work

Latent State Inference in a Spatiotemporal Generative Model

Year: 2021

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-86380-7_31

Authors: Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz

Institutions: University of Tübingen, University of Hohenheim

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: International Max Planck Research School for Environmental, Cellular and Molecular Microbiology, Deutsche Forschungsgemeinschaft, International Max Planck Research School for Advanced Methods in Process and Systems Engineering

Awards: G1562512020, EXC 2064: Maschinelles Lernen: Neue Perspektiven für die Wissenschaft

OpenAlex ID: W3193467428

FWCI: 1.14

Cites: 30

Cited by: 3

Related to: 20