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Disambiguation of "Kopp, Michael"

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High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021.

, , , , , , , and . IEEE BigData, page 5750-5757. IEEE, (2021)

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Michael Kopp

Michael Kopp

Michael Kopp

Michael Kopp

Michael Kopp

 

Other publications of authors with the same name

Hopfield Networks is All You Need, , , , , , , , , and 6 other author(s). (2020)cite arxiv:2008.02217Comment: 10 pages (+ appendix); 12 figures; Blog: https://ml-jku.github.io/hopfield-layers/; GitHub: https://github.com/ml-jku/hopfield-layers.Videos in der (Hochschul-)Lehre, , , , , , , , , and 2 other author(s). Zeitschrift für Hochschulentwicklung, (2014)Asynchronous Federated Learning for Geospatial Applications., , , , , , and . DMLE/IOTSTREAMING@PKDD/ECML, volume 967 of Communications in Computer and Information Science, page 21-28. Springer, (2018)Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks., , , and . IEEE Trans. Geosci. Remote. Sens., (2024)Testing the mean field theory of scalar field dark matter, , , and . (2022)cite arxiv:2210.05842Comment: IDM conference proceedings.Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection., , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)The Landslide4Sense Competition 2022., , , , , , and . CDCEO@IJCAI, volume 3207 of CEUR Workshop Proceedings, page 91. CEUR-WS.org, (2022)Kosten und Wert von MOOCs am Beispiel der Plattform iMooX., , and . GeNeMe, page 191-204. Technische Universität Dresden, (2014)Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes., , , , , , , , , and 9 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 325-343. PMLR, (2020)Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes., , , , , , , , , and 27 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 97-112. PMLR, (2021)