Watch a 49-minute seminar presentation from the Data-Driven Engineering series where Mr Yazid Janati from Institut polytechnique de Paris explores Monte Carlo guided Diffusion techniques for solving Bayesian linear inverse problems. Delivered at the INI Seminar Room 2, the talk delves into mathematical and statistical foundations that underpin future data-driven engineering applications.
Overview
Syllabus
Date: 22nd June 2023 – 15:15 to
Taught by
INI Seminar Room 2
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Monte Carlo Guided Diffusion for Bayesian Linear Inverse Problems
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Multilevel Monte Carlo Methods with Smoothing
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Langevin Monte Carlo Beyond Lipschitz Gradient Continuity
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Fast Hybrid Tempered Ensemble Transform Filter for Bayesian Elliptical Problems
