Ullrich Köthe

Orcid: 0000-0001-6036-1287

Affiliations:
  • Heidelberg University, HCI/IWR, Germany


According to our database1, Ullrich Köthe authored at least 122 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2024
On the Universality of Coupling-based Normalizing Flows.
CoRR, 2024

2023
BayesFlow: Amortized Bayesian Workflows With Neural Networks.
J. Open Source Softw., October, 2023

Amortized Bayesian Model Comparison With Evidential Deep Learning.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data.
Trans. Mach. Learn. Res., 2023

Towards Context-Aware Domain Generalization: Representing Environments with Permutation-Invariant Networks.
CoRR, 2023

Learning Distributions on Manifolds with Free-form Flows.
CoRR, 2023

Consistency Models for Scalable and Fast Simulation-Based Inference.
CoRR, 2023

Free-form Flows: Make Any Architecture a Normalizing Flow.
CoRR, 2023

Sensitivity-Aware Amortized Bayesian Inference.
CoRR, 2023

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference.
CoRR, 2023

Application-driven Validation of Posteriors in Inverse Problems.
CoRR, 2023

A Review of Change of Variable Formulas for Generative Modeling.
CoRR, 2023

Maximum Likelihood Training of Autoencoders.
CoRR, 2023

Finding Competence Regions in Domain Generalization.
CoRR, 2023

Towards Learned Emulation of Interannual Water Isotopologue Variations in General Circulation Models.
CoRR, 2023

Jana: Jointly amortized neural approximation of complex Bayesian models.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Unsupervised Domain Transfer with Conditional Invertible Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

On the Convergence Rate of Gaussianization with Random Rotations.
Proceedings of the International Conference on Machine Learning, 2023

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022
BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Anomaly Detection using Contrastive Normalizing Flows.
CoRR, 2022

Exoplanet Characterization using Conditional Invertible Neural Networks.
CoRR, 2022

Whitening Convergence Rate of Coupling-based Normalizing Flows.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Content-Aware Differential Privacy with Conditional Invertible Neural Networks.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Towards Multimodal Depth Estimation from Light Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany.
PLoS Comput. Biol., 2021

The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

BayesFlow can reliably detect Model Misspecification and Posterior Errors in Amortized Bayesian Inference.
CoRR, 2021

Benchmarking Invertible Architectures on Inverse Problems.
CoRR, 2021

Learning Robust Models Using the Principle of Independent Causal Mechanisms.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Generative Classifiers as a Basis for Trustworthy Image Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks.
CoRR, 2020

Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks.
CoRR, 2020

Generative Classifiers as a Basis for Trustworthy Computer Vision.
CoRR, 2020

Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling.
CoRR, 2020

Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN).
Proceedings of the 8th International Conference on Learning Representations, 2020

Riemannian SOS-Polynomial Normalizing Flows.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Conditional Invertible Neural Networks for Diverse Image-to-Image Translation.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

2019
Guided Image Generation with Conditional Invertible Neural Networks.
CoRR, 2019

HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference.
CoRR, 2019

The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning.
CoRR, 2019

Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2019

Out of Distribution Detection for Intra-operative Functional Imaging.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

Analyzing Inverse Problems with Invertible Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Training Invertible Neural Networks as Autoencoders.
Proceedings of the Pattern Recognition, 2019

Object Segmentation Using Pixel-Wise Adversarial Loss.
Proceedings of the Pattern Recognition, 2019

2018
Neuron Segmentation With High-Level Biological Priors.
IEEE Trans. Medical Imaging, 2018

Analyzing Inverse Problems with Invertible Neural Networks.
CoRR, 2018

The Mutex Watershed: Efficient, Parameter-Free Image Partitioning.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Learned Watershed: End-to-End Learning of Seeded Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images.
IEEE Trans. Medical Imaging, 2016

An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Graphical model for joint segmentation and tracking of multiple dividing cells.
Bioinform., 2015

Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Improving 3D EM data segmentation by joint optimization over boundary evidence and biological priors.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Multiple Instance Learning with Response-Optimized Random Forests.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Asymmetric Cuts: Joint Image Labeling and Partitioning.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Learning to Segment Neurons with Non-local Quality Measures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria.
Proceedings of the IEEE International Conference on Computer Vision, 2013

K-Smallest Spanning Tree Segmentations.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

2012
3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries.
Medical Image Anal., 2012

Quality Classification of Microscopic Imagery with Weakly Supervised Learning.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Learning to count with regression forest and structured labels.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness.
Proceedings of the Computer Vision - ECCV 2012, 2012

The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models.
Proceedings of the Computer Vision - ECCV 2012, 2012

Globally Optimal Closed-Surface Segmentation for Connectomics.
Proceedings of the Computer Vision - ECCV 2012, 2012

Seeded watershed cut uncertainty estimators for guided interactive segmentation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Learning to segment dense cell nuclei with shape prior.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists.
Bioinform., 2011

On Oblique Random Forests.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Ilastik: Interactive learning and segmentation toolkit.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Deltr: Digital embryo lineage tree reconstructor.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Automated segmentation of synapses in 3D EM data.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Probabilistic image segmentation with closedness constraints.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
How to Extract the Geometry and Topology from Very Large 3D Segmentations
CoRR, 2010

The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search
CoRR, 2010

Runtime-Flexible Multi-dimensional Arrays and Views for C++98 and C++0x
CoRR, 2010

Deuteration distribution estimation with improved sequence coverage for HX/MS experiments.
Bioinform., 2010

Computational protein profile similarity screening for quantitative mass spectrometry experiments.
Bioinform., 2010

Geometric Analysis of 3D Electron Microscopy Data.
Proceedings of the Applications of Discrete Geometry and Mathematical Morphology, 2010

An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM.
Proceedings of the Pattern Recognition, 2010

2009
A topological sampling theorem for Robust boundary reconstruction and image segmentation.
Discret. Appl. Math., 2009

Pixel Approximation Errors in Common Watershed Algorithms.
Proceedings of the Discrete Geometry for Computer Imagery, 2009

Multivariate Watershed Segmentation of Compositional Data.
Proceedings of the Discrete Geometry for Computer Imagery, 2009

Fast and Accurate 3D Edge Detection for Surface Reconstruction.
Proceedings of the Pattern Recognition, 2009

Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times.
Proceedings of the Pattern Recognition, 2009

2008
What Can We Learn from Discrete Images about the Continuous World?.
Proceedings of the Discrete Geometry for Computer Imagery, 2008

Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification.
Proceedings of the Pattern Recognition, 2008

On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2006
Connectivity preserving digitization of blurred binary images in 2D and 3D.
Comput. Graph., 2006

Automatic cardiac MRI myocardium segmentation using graphcut.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

A New Sub-pixel Map for Image Analysis.
Proceedings of the Combinatorial Image Analysis, 11th International Workshop, 2006

Topologically Correct Image Segmentation Using Alpha Shapes.
Proceedings of the Discrete Geometry for Computer Imagery, 13th International Conference, 2006

Provably Correct Edgel Linking and Subpixel Boundary Reconstruction.
Proceedings of the Pattern Recognition, 2006

Low-level Feature Detection Using the Boundary Tensor.
Proceedings of the Visualization and Processing of Tensor Fields, 2006

2005
Towards a general sampling theory for shape preservation.
Image Vis. Comput., 2005

Riesz-Transforms Versus Derivatives: On the Relationship Between the Boundary Tensor and the Energy Tensor.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

GET: The Connection Between Monogenic Scale-Space and Gaussian Derivatives.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

The GeoMap: A Unified Representation for Topology and Geometry.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2005

Shape Preserving Digitization of Binary Images After Blurring.
Proceedings of the Discrete Geometry for Computer Imagery, 12th International Conference, 2005

2004
Boundary Characterization Within the Wedge-Channel Representation.
Proceedings of the Complex Motion, First International Workshop, 2004

Accurate and Efficient Approximation of the Continuous Gaussian Scale-Space.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

Fast and Accurate Interactive Image Segmentation in the GEOMAP Framework.
Proceedings of the Bildverarbeitung für die Medizin 2004, Algorithmen - Systeme, 2004

2003
Integrated Edge and Junction Detection with the Boundary Tensor.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Shape Preserving Digitization of Ideal and Blurred Binary Images.
Proceedings of the Discrete Geometry for Computer Imagery, 11th International Conference, 2003

Shape Preservation during Digitization: Tight Bounds Based on the Morphing Distance.
Proceedings of the Pattern Recognition, 2003

Edge and Junction Detection with an Improved Structure Tensor.
Proceedings of the Pattern Recognition, 2003

2002
Deriving Topological Representations from Edge Images.
Proceedings of the Geometry, 2002

XPMaps and Topological Segmentation - A Unified Approach to Finite Topologies in the Plane.
Proceedings of the Discrete Geometry for Computer Imagery, 10th International Conference, 2002

2000
Generic Programming Techniques that Make Planar Cell Complexes Easy to Use.
Proceedings of the Digital and Image Geometry, 2000

1998
Design Patterns for Independent Building Blocks.
Proceedings of the 3rd European Conference on Pattern Languages of Programms (EuroPLoP '1998), 1998

The STL Model in the Geometric Domain.
Proceedings of the Generic Programming, 1998

1997
ViComp - Architektur und Städteplanung mit virtueller Modellierung und Komposition.
Proceedings of the Simulation und Animation 1997 (SimVis 1997), 6-7 März 1997, Magdeburg, 1997

1996
Local Appropriate Scale in Morphological Scale-Space.
Proceedings of the Computer Vision, 1996

1995
Primary Image Segmentation.
Proceedings of the Mustererkennung 1995, 1995


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