Gabriele Steidl
7 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
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Prolific Year · Productive
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Research topics
Deep Learning
(4)
Machine Learning
(4)
Models
(4)
Computer Vision
(2)
Mathematics & Optimization
(2)
Generation
(2)
Optimization
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Analysis
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Types
(1)
Keywords
inverse problem
(3)
optimal transport
(3)
generative model
(2)
flow matching
(2)
bayesian inference
(2)
maximum mean discrepancy
(2)
gradient flow
(2)
posterior sampling
(1)
image denoising
(1)
image super-resolution
(1)
probability distribution
(1)
block coordinate descent
(1)
posterior approximation
(1)
unsupervised alignment
(1)
thermal imaging
(1)
unbalanced optimal transport
(1)
wasserstein gradient flow
(1)
facial landmark
(1)
generative modelling
(1)
neural network
(1)
Papers
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching
JMLR 2025
Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization
ICML 2025
Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry
ICLR 2025
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
ICLR 2025
T-FAKE: Synthesizing Thermal Images for Facial Landmarking
CVPR 2025
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel
ICLR 2024
Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels
ICML 2023