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Videos linked to 62F15 Bayesian inferenceMore +
![Monte Carlo guided Diffusion for Bayesian linear inverse problems]()
36:33published on November 27, 2023Monte Carlo guided Diffusion for Bayesian linear inverse problems
By Sylvain Le Corff
![Stochastic normalizing flows and the power of patches in inverse problems]()
42:41published on November 10, 2022Stochastic normalizing flows and the power of patches in inverse problems
By Gabriele Steidl
![A tutorial on Bayesian machine learning: what, why and how - lecture 2]()
01:35:18published on November 15, 2021A tutorial on Bayesian machine learning: what, why and how - lecture 2
By Rémi Bardenet
![A tutorial on Bayesian machine learning: what, why and how - lecture 1]()
01:35:04published on November 15, 2021A tutorial on Bayesian machine learning: what, why and how - lecture 1
By Rémi Bardenet
![The coordinate sampler: a non-reversible Gibbs-like MCMC sampler]()
32:44published on November 2, 2020The coordinate sampler: a non-reversible Gibbs-like MCMC sampler
By Christian P. Robert
![Analysis of a localised nonlinear Ensemble Kalman Bucy Filter with complete and accurate observations]()
26:30published on December 19, 2019Analysis of a localised nonlinear Ensemble Kalman Bucy Filter with complete and accurate observations
By Jana de Wiljes
![Scalable optimal experimental design for Bayesian inverse problems]()
32:39published on December 18, 2019Scalable optimal experimental design for Bayesian inverse problems
By Omar Ghattas
