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2020 – today
- 2023
[j2]Ankit Patnala
, Scarlet Stadtler, Martin G. Schultz, Juergen Gall:
Generating Views Using Atmospheric Correction for Contrastive Self-Supervised Learning of Multispectral Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)- [c2]Ankit Patnala, Scarlet Stadtler, Martin G. Schultz, Juergen Gall:
Multi-Modal Self-Supervised Learning for Boosting Crop Classification Using Sentinel2 and Planetscope. IGARSS 2023: 2223-2226 - [i2]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 abs/2308.13280 (2023) - 2022
- [j1]Scarlet Stadtler, Clara Betancourt, Ribana Roscher:
Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset. Mach. Learn. Knowl. Extr. 4(1): 150-171 (2022) - 2021
- [c1]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: 453-468 - [i1]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 abs/2108.11976 (2021)
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