Köthe, Ullrich

25 publications

NeurIPS 2024 Consistency Models for Scalable and Fast Simulation-Based Inference Marvin Schmitt, Valentin Pratz, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev

AISTATS 2024 Free-Form Flows: Make Any Architecture a Normalizing Flow Felix Draxler, Peter Sorrenson, Lea Zimmermann, Armand Rousselot, Ullrich Köthe

NeurIPS 2024 Learning Distributions on Manifolds with Free-Form Flows Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Ullrich Köthe

UAI 2023 Jana: Jointly Amortized Neural Approximation of Complex Bayesian Models Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner

CVPR 2022 Towards Multimodal Depth Estimation from Light Fields Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother

NeurIPS 2022 Whitening Convergence Rate of Coupling-Based Normalizing Flows Felix Draxler, Christoph Schnörr, Ullrich Köthe

CVPR 2021 Generative Classifiers as a Basis for Trustworthy Image Classification Radek Mackowiak, Lynton Ardizzone, Ullrich Kothe, Carsten Rother

AAAI 2021 HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference Jakob Kruse, Gianluca Detommaso, Ullrich Köthe, Robert Scheichl

ICLR 2020 Disentanglement by Nonlinear ICA with General Incompressible-Flow Networks (GIN) Peter Sorrenson, Carsten Rother, Ullrich Köthe

NeurIPS 2020 Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification Lynton Ardizzone, Radek Mackowiak, Carsten Rother, Ullrich Köthe

ICLR 2019 Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone, Jakob Kruse, Carsten Rother, Ullrich Köthe

ECCV 2018 The Mutex Watershed: Efficient, Parameter-Free Image Partitioning Steffen Wolf, Constantin Pape, Alberto Bailoni, Nasim Rahaman, Anna Kreshuk, Ullrich Kothe, FredA. Hamprecht

ICCV 2017 Learned Watershed: End-to-End Learning of Seeded Segmentation Steffen Wolf, Lukas Schott, Ullrich Kothe, Fred Hamprecht

ECCV 2016 An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem Thorsten Beier, Björn Andres, Ullrich Köthe, Fred A. Hamprecht

CVPR 2014 Cut, GLUE & Cut: A Fast, Approximate Solver for Multicut Partitioning Thorsten Beier, Thorben Kroeger, Jorg H. Kappes, Ullrich Kothe, Fred A. Hamprecht

ECCV 2012 A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness Bernhard X. Kausler, Martin Schiegg, Björn Andres, Martin S. Lindner, Ullrich Köthe, Heike Leitte, Jochen Wittbrodt, Lars Hufnagel, Fred A. Hamprecht

ECCV 2012 Globally Optimal Closed-Surface Segmentation for Connectomics Björn Andres, Thorben Kröger, Kevin L. Briggman, Winfried Denk, Natalya Korogod, Graham Knott, Ullrich Köthe, Fred A. Hamprecht

CVPR 2012 Learning to Segment Dense Cell Nuclei with Shape Prior Xinghua Lou, Ullrich Köthe, Jochen Wittbrodt, Fred A. Hamprecht

CVPR 2012 Seeded Watershed Cut Uncertainty Estimators for Guided Interactive Segmentation Christoph N. Straehle, Ullrich Köthe, Graham Knott, Kevin L. Briggman, Winfried Denk, Fred A. Hamprecht

ECCV 2012 The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models Björn Andres, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht

ECML-PKDD 2011 On Oblique Random Forests Bjoern H. Menze, B. Michael Kelm, Daniel Nicolas Splitthoff, Ullrich Köthe, Fred A. Hamprecht

ICCV 2011 Probabilistic Image Segmentation with Closedness Constraints Björn Andres, Jörg H. Kappes, Thorsten Beier, Ullrich Köthe, Fred A. Hamprecht

CVPR 2008 On Errors-in-Variables Regression with Arbitrary Covariance and Its Application to Optical Flow Estimation Björn Andres, Claudia Kondermann, Daniel Kondermann, Ullrich Köthe, Fred A. Hamprecht, Christoph S. Garbe

ICCV 2003 Integrated Edge and Junction Detection with the Boundary Tensor Ullrich Köthe

ECCV 1996 Local Appropriate Scale in Morphological Scale-Space Ullrich Köthe