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Tom Burgert, Oliver Stoll, Paolo Rota, Begüm Demir
ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
Felix Weissberg, Lukas Pirch, Erik Imgrund, Jonas Möller, Thorsten Eisenhofer, Konrad Rieck
LLM-based Vulnerability Discovery through the Lens of Code Metrics
Alexander Panfilov, Evgenii Kortukov, Kristina Nikolić, Matthias Bethge, Sebastian Lapuschkin, Wojciech Samek, Ameya Prabhu, Maksym Andriushchenko, Jonas Geiping
Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs
Barrie Kersbergen, Olivier Sprangers, Bojan Karlaš, Maarten de Rijke, Sebastian Schelter
Scalable Data Debugging for Neighborhood-based Recommendation with Data Shapley Values
Leonard Hackel, Tom Burgert, Begüm Demir
CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Elif Kara, Rosa Esther Martín Peña, Lisa Raithel
FU-TU-DFKI@eRisk 2025: A Linguistically Informed but Overdiagnosing Approach to Early Depression Detection
Sinan Bove, Icondy Kiba-Gassaye, Sirak Tadesse, Lisa Raithel
EcoTUB @SustainEval 2025: Ensembling BERT for German Sustainability Report Classification
Philipp Keyl, Julius Keyl, Andreas Mock, Gabriel Dernbach, Liliana H Mochmann, Niklas Kiermeyer, Philipp Jurmeister, Michael Bockmayr, Roland F Schwarz, Grégoire Montavon et al.
Neural interaction explainable AI predicts drug response across cancers
Bridget Ratcliffe, Sergey Khoperskov, Nathan Lee, Ivan Minchev, Paola Di Matteo, Glenn van de Ven, Misha Haywood, Léa Marques, John Paul Bernaldez, Davor Krajnović et al.
Rediscovering the Milky Way with an orbit superposition approach and APOGEE data V. The disc growth and history of star formation
Meryem A. Yücel, Jessica E. Anderson, De’Ja Rogers, Parisa Hajirahimi, Parya Farzam, Yuanyuan Gao, Rini I. Kaplan, Emily J. Braun, Nishaat Mukadam, Sudan Duwadi et al.