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Pattarawat Chormai, Ali Hashemi, Klaus-Robert Müller, Grégoire Montavon
Distilling Lightweight Domain Experts from Large ML Models by Identifying Relevant Subspaces
E. Middell, L. Carlton, S. Moradi, T. Codina, T. Fischer, J. Cutler, S. Kelley, J. Behrendt, T. Dissanayake, N. Harmening et al.
Cedalion Tutorial: A Python-based framework for comprehensive analysis of multimodal fNIRS & DOT from the lab to the everyday world
Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, Michael A. Hedderich, Sebastian Lapuschkin, Wojciech Samek, Vera Schmitt
From Weights to Activations: Is Steering the Next Frontier of Adaptation?
Maximilian Alber, Timo Milbich, Alexandra Carpen-Amarie, Stephan Tietz, Jonas Dippel, Lukas Muttenthaler, Beatriz Perez Cancer, Alessandro Benetti, Panos Korfiatis, Elias Eulig et al.
Atlas 2 - Foundation models for clinical deployment
Marcel Bausch, Johannes Niediek, Thomas P. Reber, Sina Mackay, Jan Boström, Christian E. Elger , Florian Mormann
Distinct neuronal populations in the human brain combine content and context
Dimitrios Giouroukis, Dwi P. A. Nugroho, Varun Pandey, Steffen Zeuch, Volker Markl
Analyzing Near-Network Hardware Acceleration with Co-Processing on DPUs
Julius Keyl, René Hosch, Fabian Hörst, Philipp Keyl, Amin Dada, Johannes Haubold, Jannis Straus, Jan Egger, Arndt Stahler, Annika Kurreck et al.
Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal Cancer
Tom Burgert, Leonard Hackel, Paolo Rota, Begüm Demir
Rank-based Geographical Regularization: Revisiting Contrastive Self-Supervised Learning for Multispectral Remote Sensing Imagery
Alexander Möllers, Julius Hense, Florian Schulz, Timo Milbich, Maximilian Alber, Lukas Ruff
Mind the Gap: Continuous Magnification Sampling for Pathology Foundation Models
Yilong Wang, Qianli Wang, Nils Feldhus