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Andrea Bulgarelli, Elia Cellini, Karl Jansen, Stefan Kühn, Alessandro Nada, Shinichi Nakajima, Kim A. Nicoli, Marco Panero
Computing quantum entanglement with machine learning
Nils Harmening, Alexander von Lühmann, Benjamin Blankertz
Data- driven head model individualization from digitized electrode positions or photogrammetry improves M/EEG source localization accuracy
Yasser Taha, Grégoire Montavon, Nils Körber
Drainage: A Unifying Framework for Addressing Class Uncertainty
Alexander Möllers, Timo Milbich, Maximilian Alber, Lukas Ruf
Continuous Magnification Training Improves Embedding Quality in Histopathological Self-Supervised Learning
M. Tsokanaridou, J. Hackstein, G. Hoxha, S.-A. Kefalidis, K. Plas, B. Demir, M. Koubarakis, M. Corsi, C. Leoni, G. Pasquali et al.
DA4DTE: Anagentic system for enhancing the accessibility of Digital Twins of Earth
Parastoo Semnani, Mihail Bogojeski, Florian Bley, Christoph Weisser, Jan Herrmann, Qiong Wu, Zizheng Zhang, Thomas Kneib, Klaus Robert Muller
From Prediction to Proposal in Catalysis: robust evaluation, LRP explanations, and relevance-guided candidate generation
H. Raum, T. Schnake, F. Hellmann, J. Kurths, C. Nauck
Explainable AI for analyzing the decision of GNNs at predicting dynamic stability of complex oscillator networks
Alexander Bauer, Klaus-Robert Müller
Noise & pattern: identity-anchored Tikhonov regularization for robust structural anomaly detection
Aliki Anagnostopoulou, Milad Alshomary, Nils Feldhus, Yi-Sheng Hsu, Henning Wachsmuth, Daniel Sonntag
HumanandLLM-based Assessment of Teaching Acts in Expert-led Explanatory Dialogues
Simon Baur, Tristan Ruhwedel, Ekin Böke, Zuzanna Kobus, Gergana Lishkova, Christoph Wetz, Holger Amthauer, Christoph Roderburg, Frank Tacke, Julian M. Rogasch et al.