Ullrich Köthe
14 papers · 2014–2024 · 8 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Top co-authors
Research topics
Deep Learning
(10)
Artificial Intelligence
(8)
Machine Learning
(8)
Core Methods
(8)
Models
(8)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Computer Vision
(3)
Core AI
(3)
Learning Types · Deep Learning
(3)
Mathematics & Optimization
(2)
Analysis
(2)
Learning Types · Machine Learning
(2)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
normalizing flow
(5)
generative model
(5)
maximum likelihood
(3)
neural network
(3)
posterior distribution
(3)
bayesian inference
(2)
generative classifier
(2)
invertible neural network
(2)
latent variable
(2)
variational inference
(2)
information bottleneck
(1)
posterior sampling
(1)
superpixel segmentation
(1)
image classification
(1)
depth estimation
(1)
amortized inference
(1)
uncertainty quantification
(1)
riemannian manifold
(1)
posterior approximation
(1)
parameter estimation
(1)
Papers
Consistency Models for Scalable and Fast Simulation-Based Inference
NeurIPS 2024
Free-form Flows: Make Any Architecture a Normalizing Flow
AISTATS 2024
Learning Distributions on Manifolds with Free-Form Flows
NeurIPS 2024
Jana: Jointly amortized neural approximation of complex Bayesian models
UAI 2023
Towards Multimodal Depth Estimation From Light Fields
CVPR 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows
NeurIPS 2022
Generative Classifiers as a Basis for Trustworthy Image Classification
CVPR 2021
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
AAAI 2021
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)
ICLR 2020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification
NeurIPS 2020
Analyzing Inverse Problems with Invertible Neural Networks
ICLR 2019
The Mutex Watershed: Efficient, Parameter-Free Image Partitioning
ECCV 2018
Learned Watershed: End-To-End Learning of Seeded Segmentation
ICCV 2017
Cut, Glue & Cut: A Fast, Approximate Solver for Multicut Partitioning
CVPR 2014