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Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben, Wojciech Samek, Sebastian Lapuschkin
PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits
Oliver T. Unke, Martin Stöhr, Stefan Ganscha, Thomas Unterthiner, Hartmut Maennel, Sergii Kashubin, Daniel Ahlin, Michael Gastegger, Leonardo Medrano Sandonas, Joshua T. Berryman et al.
Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments
Hinrich Rahlfs, Markus Hüllebrand, Sebastian Schmitter, Christoph Strecker, Andreas Harloff, Anja Hennemuth
Learning carotid vessel wall segmentation in black blood MRI using sparsely sampled cross-sections from 3D data
Johanna Brosig, Nina Krüger, Isaac Wamala, Matthias Ivantsits, Simon Sündermann, Jörg Kempfert, Stefan Heldmann, Anja Hennemuth
Learning 3D aortic root assessment based on sparse annotations
Jicheng Yuan, Anh Le-Tuan, Manfred Hauswirth, Danh Le-Phuoc
Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object Detection
Klaus-Robert Müller
Deep Learning made transferable: studying Brain decoding
Dwi P. A. Nugroho, Philipp M. Grulich, Steffen Zeuch, Clemens Lutz, Stefano Bortoli, Volker Markl
Benchmarking Stream Join Algorithms on GPUs: A Framework and Its Application to the State of the Art
Jörg Kumbrink, Melanie-Christin Demes, Jan Jeroch, Andreas Bräuninger, Kristin Hartung, Uwe Gerstenmaier, Ralf Marienfeld, Axel Hillmer, Nadine Bohn, Christina Lehning et al.
Development, testing and validation of a targeted NGS-panel for the detection of actionable mutations in lung cancer (NSCLC) using anchored multiplex PCR technology in a multicentric setting
Jicheng Yuan, Anh Le-Tuan, Manh Nguyen-Duc, Trung-Kien Tran, Manfred Hauswirth, Danh Le-Phuoc
VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph
Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada, Cyril Grouin, Thomas Lavergne, Aurélie Névéol, Patrick Paroubek, Philippe Thomas, Tomohiro Nishiyama, Sebastian Möller et al.