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SGF+: Decoupling Gradient Flows for Autoregressive Video Generation
Anna Korba: Wasserstein gradient flows and applications to sampling in machine learning - Lecture 1
Gradient Flow
(De)regularized Wasserstein Gradient Flows via Reproducing Kernels
FKTW03 | Jr. Prof. Dr. Anna Korba | Sampling with kernelized Wasserstein gradient flows
Wasserstein gradient flows for machine learning by Anna Korba
Optimal Transport and PDE: Gradient Flows in the Wasserstein Metric
Gradient Descent: The Algorithm Behind Every AI Model's Training
Yingdong Lu: Stability and geometric structure of the Gradient Flows for In-Context Learning
Anna Korba: Wasserstein gradient flows and applications to sampling in machine learning - Lecture 3
Viktor Stein (TU Berlin): Accelerated Stein Variational Gradient Descent
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Last Updated: October 19, 2026
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Summary
Sahani Pathiraja (UNSW Sydney) Rocco Caprio (University of Warwick) Anna Korba (ENSAE/CREST) Paula Cordero Encinar ... In recent years, particle-based variational SGF+ separates context-writing and denoising parameters to resolve conflicting CONFERENCE Recording during the thematic meeting : « Frontiers in interacting particle systems, aggregation-diffusion ... TITLE: (De)regularized Wasserstein FKTW03 | Jr. Prof. Dr. Anna Korba | Katy Craig (UC Santa Barbara) simons.berkeley.edu/talks/tbd-335 Geometric Methods in Optimization and Title: Stability and geometric structure of the Talk at Stan Osher's ULCA level set seminar on the 21.04.2025 Stein variational
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