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Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Gregoire Montavon
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Lukas Muttenthaler, Charles Yang Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira
VICE: Variational Interpretable Concept Embeddings
Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina MC Höhne, Michael Kampffmeyer
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
Tom-Lukas Breitkopf, Leonard W. Hackel, Mahdyar Ravanbakhsh, Anne-Karin Cooke, Sandra Willkommen, Stefan Broda, Begüm Demir
Advanced Deep Learning Architectures for Accurate Detection of Subsurface Tile Drainage Pipes from Remote Sensing Images
Tim Siebert, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir
Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing
Niklas Frederik Schmitz, Klaus-Robert Müller, Stefan Chmiela
Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields
Ron Levie, Çağkan Yapar, Giuseppe Caire, Gitta Kutyniok
Fast Radio Propagation Prediction with Deep Learning
Lorenz Vaitl, Kim Andrea Nicoli, Shinichi Nakajima, Pan Kessel
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL divergence for Normalizing Flows
Adina Zell, Gencer Sumbul, Begüm Demir
Deep Metric Learning-Based Semi-Supervised Regression with Alternate Learning
Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith