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Generative Diffusion Models: Key Ideas, Current Practice and Research Challenges: Insights from the Czech Technical University Seminar, April 28th, 2023

We are pleased to present a summary of the presentation titled “Generative Diffusion Models: Key Ideas, Current Practice, and Research Challenges,” delivered by Prof. Pietro Michiardi, Full Professor and Head of the Data Science Department at EURECOM. The seminar took place at the Czech Technical University in Prague on April 28th, 2023. Here, we provide an abstract of his talk.

Abstract:
During the seminar, Prof. Pietro Michiardi explored a unique class of generative models known as diffusion processes. He discussed their applications and the challenges currently being addressed by the scientific community.
The presentation began with an introduction to the generative modelling task, providing necessary background information and presenting the fundamental tools required to comprehend diffusion processes. A comprehensive overview of energy-based modelling was given, showcasing various example applications and focusing on score-based generative models. The aim was to provide attendees with a thorough understanding of the theory behind score-based models while demystifying them and suggesting practical interpretations of these methods. Concluding the talk, Prof. Michiardi presented the challenges we are currently addressing. These challenges include image data, multi-modality, and methodological advances that are required to improve the practical application of such exciting new methods.

Watch the video here