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Kim A. Nicoli, Christopher J. Anders, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima
Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories
Habib Mostafaei, Georgios Smaragdakis
Per Priority Data Rate Measurement in Data Plane
Serafeim Papadias, Zoi Kaoudi, Varun Pandey, Jorge-Arnulfo Quiane-Ruiz, Volker Markl
Counting Butterflies in Fully Dynamic Bipartite Graph Streams
Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel
Diffeomorphic Counterfactuals with Generative Models
Maximilian Dreyer, Reduan Achtibat, Wojciech Samek, Sebastian Lapuschkin
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations
Kirill Bykov, Laura Kopf, Shinichi Nakajima, Marius Kloft, Marina M.-C. Höhne
Labeling Neural Representations with Inverse Recognition
Shafaq Siddiqi, Roman Kern, Matthias Boehm
Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications
Jan-Michel Heger, Julia Mattlener, Jessica Schneider, Philipp Gödel, Noëlle Sieg, Fabian Ullrich, Richard Lewis, Teodora Bucaciuc-Mracica, Roland F. Schwarz, Daniel Rueß et al.
Entirely noninvasive outcome prediction in central nervous system lymphomas using circulating tumor DNA
Dennis Grinwald, Kirill Bykov, Shinichi Nakajima, Marina MC Höhne
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks
Barış Büyüktaş, Gencer Sumbul, Begüm Demir