Koethe, Ullrich

14 publications

AISTATS 2025 Analyzing Generative Models by Manifold Entropic Metrics Daniel Galperin, Ullrich Koethe

ICML 2025 Learning Distances from Data with Normalizing Flows and Score Matching Peter Sorrenson, Daniel Behrend-Uriarte, Christoph Schnoerr, Ullrich Koethe

AISTATS 2025 TRADE: Transfer of Distributions Between External Conditions with Normalizing Flows Stefan Wahl, Armand Rousselot, Felix Draxler, Ullrich Koethe

ICMLW 2024 Deciphering the Definition of Adversarial Robustness for Post-Hoc OOD Detectors Peter Lorenz, Mario Ruben Fernandez, Jens Müller, Ullrich Koethe

ICML 2024 Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference Marvin Schmitt, Desi R. Ivanova, Daniel Habermann, Ullrich Koethe, Paul-Christian Bürkner, Stefan T. Radev

ICLR 2024 Lifting Architectural Constraints of Injective Flows Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Lea Zimmermann, Ullrich Koethe

ICML 2024 On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows Felix Draxler, Stefan Wahl, Christoph Schnoerr, Ullrich Koethe

TMLR 2024 Sensitivity-Aware Amortized Bayesian Inference Lasse Elsemüller, Hans Olischläger, Marvin Schmitt, Paul-Christian Bürkner, Ullrich Koethe, Stefan T. Radev

TMLR 2023 Finding Competence Regions in Domain Generalization Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Koethe

NeurIPSW 2023 Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference Marvin Schmitt, Daniel Habermann, Paul-Christian Bürkner, Ullrich Koethe, Stefan T. Radev

ICML 2023 On the Convergence Rate of Gaussianization with Random Rotations Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnoerr, Ullrich Koethe

TMLR 2023 Positive Difference Distribution for Image Outlier Detection Using Normalizing Flows and Contrastive Data Robert Schmier, Ullrich Koethe, Christoph-Nikolas Straehle

CVPR 2014 Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning Luca Fiaschi, Ferran Diego, Konstantin Gregor, Martin Schiegg, Ullrich Koethe, Marta Zlatic, Fred A. Hamprecht

ICCV 2013 Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria Christoph Straehle, Ullrich Koethe, Fred A. Hamprecht