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What are Normalizing Flows
Nik Nuesken: Stein geometry in machine learning: gradient flows, optimal transport, large deviations
FKTW03 | Jr. Prof. Dr. Anna Korba | Sampling with kernelized Wasserstein gradient flows
Optimal Transport and PDE: Gradient Flows in the Wasserstein Metric
Anna Korba: Wasserstein gradient flows and applications to sampling in machine learning - Lecture 2
Anna Korba: Wasserstein gradient flows and applications to sampling in machine learning - Lecture 3
Wuchen Li: Accelerated Information Gradient Flow
Sampling as optimization in the space of measures ...
Wasserstein gradient flows for machine learning by Anna Korba
Flow-Matching vs Diffusion Models explained side by side
Peter Potaptchik - Meta Flow Maps
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Last Updated: August 14, 2026
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