Michael Langguth

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 4

Top Topics

Stochastic Model

Binary Classification

Machine Learning

Massively Parallel

Top Venues

Publications

Christian Lessig, Ilaria Luise, Bing Gong, Michael Langguth, Scarlet Stadtler, Martin G. Schultz
AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning. CoRR (2023)
Amirpasha Mozaffari, Michael Langguth, Bing Gong, Jessica Ahring, Adrian Rojas Campos, Pascal Nieters, Otoniel José Campos Escobar, Martin Wittenbrink, Peter Baumann, Martin G. Schultz
HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction. Data Intell. 4 (2) (2022)
Stefan Kesselheim, Andreas Herten, Kai Krajsek, Jan Ebert, Jenia Jitsev, Mehdi Cherti, Michael Langguth, Bing Gong, Scarlet Stadtler, Amirpasha Mozaffari, Gabriele Cavallaro, Rocco Sedona, Alexander Schug, Alexandre Strube, Roshni Kamath, Martin G. Schultz, Morris Riedel, Thomas Lippert
JUWELS Booster - A Supercomputer for Large-Scale AI Research. CoRR (2021)
Stefan Kesselheim, Andreas Herten, Kai Krajsek, Jan Ebert, Jenia Jitsev, Mehdi Cherti, Michael Langguth, Bing Gong, Scarlet Stadtler, Amirpasha Mozaffari, Gabriele Cavallaro, Rocco Sedona, Alexander Schug, Alexandre Strube, Roshni Kamath, Martin G. Schultz, Morris Riedel, Thomas Lippert
JUWELS Booster - A Supercomputer for Large-Scale AI Research. ISC Workshops (2021)