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Marvin Sextro, Gabriel Dernbach, Kai Standvoss, Simon Schallenberg, Frederick Klauschen, Klaus-Robert Müller, Maximilian Alber, Lukas Ruff
xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer
Gian Marcello Andolina, Paolo Andrea Erdman, Frank Noé, Jukka Pekola, Marco Schirò
Dicke superradiant heat current enhancement in circuit quantum electrodynamics
Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler
Training objective drives the consistency of representational similarity across datasets
Jonah Kömen, Hannah Marienwald, Jonas Dippel, Julius Hense
Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study
Andreas Lutz, Gabriele Steidl, Karsten Müller, Wojciech Samek
Optimizing Federated Learning by Entropy-Based Client Selection
Dennis Grinwald, Philipp Wiesner, Shinichi Nakajima
Federated Learning over Connected Modes
Marco Morik, Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima
Enhancing Brain Source Reconstruction through Physics-Informed 3D Neural Networks
Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
Pitfalls in Machine Learning for Computer Security
Oliver Eberle, Jochen Büttner, Hassan el-Hajj, Grégoire Montavon, Klaus-Robert Müller, Matteo Valleriani
Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tables
Jonas Dippel, Niklas Prenißl, Julius Hense, Philipp Liznerski, Tobias Winterhoff, Simon Schallenberg, Marius Kloft, Oliver Buchstab, David Horst, Maximilian Alber et al.