Ullrich Koethe
9 papers · 2013–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🚀
Conference Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(6)
Models
(6)
Core Methods
(4)
Artificial Intelligence
(3)
Learning Types
(3)
Computer Vision
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Analysis
(1)
Core AI
(1)
Mathematics
(1)
Processing
(1)
Keywords
normalizing flow
(5)
weakly supervised learning
(2)
multi-object tracking
(1)
maximum likelihood
(1)
disentangled representation
(1)
occlusion handling
(1)
expressive power
(1)
structured learning
(1)
generative model
(1)
convergence rate
(1)
marginal likelihood
(1)
inductive bia
(1)
bayesian inference
(1)
variational autoencoder
(1)
decision tree
(1)
molecular simulation
(1)
evaluation metric
(1)
identity preservation
(1)
data manifold
(1)
image segmentation
(1)
Papers
Analyzing Generative Models by Manifold Entropic Metrics
AISTATS 2025
Learning Distances from Data with Normalizing Flows and Score Matching
ICML 2025
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
AISTATS 2025
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
ICML 2024
Lifting Architectural Constraints of Injective Flows
ICLR 2024
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
ICML 2024
On the Convergence Rate of Gaussianization with Random Rotations
ICML 2023
Tracking Indistinguishable Translucent Objects over Time using Weakly Supervised Structured Learning
CVPR 2014
Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria
ICCV 2013