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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.
