1 code implementation • 9 Feb 2024 • Florian Peter Busch, Roshni Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt
A dataset is confounded if it is most easily solved via a spurious correlation which fails to generalize to new data.
1 code implementation • 7 Feb 2024 • Roshni Kamath, Rupert Mitchell, Subarnaduti Paul, Kristian Kersting, Martin Mundt
The quest to improve scalar performance numbers on predetermined benchmarks seems to be deeply engraved in deep learning.
1 code implementation • 6 Jun 2023 • Subarnaduti Paul, Lars-Joel Frey, Roshni Kamath, Kristian Kersting, Martin Mundt
In parts, federated learning lifts this assumption, as it sets out to solve the real-world challenge of collaboratively learning a shared model from data distributed across clients.
1 code implementation • Conference 2022 • Rıdvan Salih Kuzu, Frauke Albrecht, Caroline Arnold, Roshni Kamath
The AI4EO HYPERVIEW challenge seeks machine learning methods that predict agriculturally relevant soil parameters (K, Mg, P2O5, pH) from airborne hyperspectral images.
Ranked #1 on Seeing Beyond the Visible on HYPERVIEW
no code implementations • 30 Jun 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
In this article, we present JUWELS Booster, a recently commissioned high-performance computing system at the J\"ulich Supercomputing Center.