Wilms, Matthias

7 publications

ICLR 2026 Explainable Mixture Models Through Differentiable Rule Learning Matthias Wilms, Sascha Xu, Jilles Vreeken

TMLR 2026 MACAW: A Causal Generative Model for Medical Imaging Vibujithan Vigneshwaran, Erik Yuiti Ohara, Matthias Wilms, Nils Forkert

MIDL 2025 Evaluating Shortcut Utilization in Deep Learning Disease Classification Through Counterfactual Analysis Vibujithan Vigneshwaran, Emma A.M. Stanley, Raissa Souza, Erik Ohara, Matthias Wilms, Nils Forkert

TMLR 2025 Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, Lily Dey, Alican Basdemir, Sayeh Bayat, Jean-Christophe Boucher, Steve Drew, Sarah Elaine Eaton, Richard Frayne, Gouri Ginde, Ashley D. Harris, Yani Ioannou, Catherine A Lebel, John T. Lysack, Leslie Salgado, Emma A.M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells, Tyler Williamson, Matthias Wilms, Mark Ungrin, Marina Gavrilova, Mariana Bento

NeurIPSW 2023 Degradation and Plasticity in Convolutional Neural Networks: An Investigation of Internal Representations Jasmine A Moore, Vibujithan Vigneshwaran, Matthias Wilms, Nils Forkert

NeurIPSW 2022 Adding Neuroplasticity to a CNN-Based In-Silico Model of Neurodegeneration Jasmine A Moore, Matthias Wilms, Kayson Fakhar, Fatemeh Hadaeghi, Claus C Hilgetag, Nils Forkert

ECCV 2016 Patch-Based Low-Rank Matrix Completion for Learning of Shape and Motion Models from Few Training Samples Jan Ehrhardt, Matthias Wilms, Heinz Handels