Ullrich Koethe - Citegraph

Author Info

Name	Affiliation	Papers
ULLRICH KOETHE	HCI, University of Heidelberg, Speyerer Str. 6, D-69115 Heidelberg, Germany	39
Collaborators	Citations	PageRank
83	249	22.37
Referers	Referees	References
827	826	384

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100827

Publications (39 rows)

Collaborators (83 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks	0	0.34	2022
Towards Multimodal Depth Estimation from Light Fields	0	0.34	2022
OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany	1	0.36	2021
Generative Classifiers as a Basis for Trustworthy Image Classification	0	0.34	2021
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging	0	0.34	2021
The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning	0	0.34	2021
Learning Robust Models Using the Principle of Independent Causal Mechanisms.	0	0.34	2021
Hint: Hierarchical Invertible Neural Transport For Density Estimation And Bayesian Inference	0	0.34	2021
OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany	1	0.36	2021
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)	0	0.34	2020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification	0	0.34	2020
Out Of Distribution Detection For Intra-Operative Functional Imaging	0	0.34	2019
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks.	1	0.38	2019
The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning	0	0.34	2019
Analyzing Inverse Problems with Invertible Neural Networks.	0	0.34	2019
Analyzing Inverse Problems with Invertible Neural Networks.	2	0.37	2018
Neuron Segmentation With High-Level Biological Priors.	1	0.36	2018
An Efficient Fusion Move Algorithm For The Minimum Cost Lifted Multicut Problem	6	0.47	2016
Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning	4	0.40	2014
Asymmetric Cuts: Joint Image Labeling And Partitioning	0	0.34	2014
Learning to segment neurons with non-local quality measures.	6	0.51	2013
Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria	3	0.43	2013
3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries.	11	0.65	2012
Learning to count with regression forest and structured labels.	35	1.22	2012
Quality Classification of Microscopic Imagery with Weakly Supervised Learning.	1	0.36	2012
The lazy flipper: efficient depth-limited exhaustive search in discrete graphical models	13	0.56	2012
Ilastik: Interactive Learning And Segmentation Toolkit	111	5.52	2011
Automated Segmentation Of Synapses In 3d Em Data	6	0.70	2011
Deltr: Digital embryo lineage tree reconstructor	6	0.49	2011
SIMA: simultaneous multiple alignment of LC/MS peak lists.	8	0.62	2011
Carving: scalable interactive segmentation of neural volume electron microscopy images	7	0.57	2011
Runtime-Flexible Multi-dimensional Arrays and Views for C++98 and C++0x	1	0.36	2010
Computational protein profile similarity screening for quantitative mass spectrometry experiments.	3	0.41	2010
Geometric Analysis of 3D Electron Microscopy Data.	0	0.34	2010
Deuteration distribution estimation with improved sequence coverage for HX/MS experiments.	2	0.52	2010
How to Extract the Geometry and Topology from Very Large 3D Segmentations	2	0.37	2010
An empirical comparison of inference algorithms for graphical models with higher order factors using openGM	16	0.82	2010
The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search	2	0.46	2010
Multivariate watershed segmentation of compositional data	0	0.34	2009