Lecture

Score-based Generative Modelling

Description

This lecture covers score-based generative modelling through stochastic differential equations, focusing on denoising score matching with Langevin dynamics and denoising diffusion probabilistic model. It discusses the challenges and solutions in learning the score function and generating new samples from a given probability distribution.

Official source

https://mediaspace.epfl.ch/media/0_o7cfblcc

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data collection: Statistical sampling

Mathematics

Analysis: Differential anaysis

Information engineering

Machine learning: Artificial neural networks

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