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Stein Variational Gradient Descent
On the geometry of Stein variational gradient descent and related ensemble sampling methods
Annealed Stein Variational Gradient Descent
Navigation Planning in Probabilistic Roadmaps with Uncertainty
The equivalence between Stein variational gradient descent and black-box variational inference
Modern Robotics, Chapter 10.5: Sampling Methods for Motion Planning (Part 1 of 2)
CS686: 7. Probabilistic Roadmaps
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning
Probabilistic Roadmaps Using Hierarchical Abstractions
CoRL 2020, Spotlight Talk 282: Stein Variational Model Predictive Control
RSS 2021, Spotlight Talk 85: Dual Online Stein Variational Inference for Control and Dynamics
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Last Updated: October 1, 2026
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Soundtrack: "Blue Train" by Coltrain (1958) Title: Talk at Stan Osher's ULCA level set seminar on the 21.04.2025 This talk is part of MCQMC 2020, the 14th International Conference in Monte Carlo & Quasi-Monte Carlo Methods in Scientific ... This presentation was part of the course "Monte Carlo Methods in Machine Learning and Artificial Intelligence" at TU Berlin. Seminar by Andrew Duncan at the UCL Centre for AI. Recorded on the 24th February 2021. Abstract Bayesian inference ... Short talk for the 3rd Symposium on Advances in Approximate Bayesian Inference. A conference talk from ICAPS 2009, given by Michael Kneebone. This is a video supplement to the book "Modern Robotics: Mechanics, Planning, and Control," by Kevin Lynch and Frank Park, ... We use a 5 DoF hierarchical abstraction in order to control the swarm, which is easily coupled with a
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