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Felix Neutatz
Constraint-aware machine learning
Alexander Bauer, Shinichi Nakajima, Klaus-Robert Müller
Self-Supervised Autoencoders for Visual Anomaly Detection
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
Gabriel Nobis, Maximilian Springenberg, Marco Aversa, Michael Detzel, Rembert Daems, Roderick Murray-Smith, Shinichi Nakajima, Sebastian Lapuschkin, Stefano Ermon, Tolga Birdal et al.
Generative Fractional Diffusion Models
Dennis Grinwald, Philipp Wiesner, Shinichi Nakajima
Federated Learning over Connected Modes
Marco Morik, Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima