From Denoising Diffusion Models to Transport for Generative Modeling and Inference
Offered By: Alan Turing Institute via YouTube
Course Description
Overview
Explore the cutting-edge world of generative modeling and inference in this 44-minute lecture by Arnaud Doucet from Oxford University. Delve into the powerful class of denoising diffusion models, understanding their capabilities and limitations. Discover how recent alternative approaches based on transport ideas can overcome these constraints. Focus on the diffusion Schrodinger bridge, an entropy-regularized version of optimal transport, and learn about its numerical approximation methods. Gain insights into the evolving landscape of generative modeling techniques and their applications in the field of artificial intelligence and machine learning.
Syllabus
From denoising diffusion models to transport for generative modelling and inference
Taught by
Alan Turing Institute
Related Courses
Deep Learning – Part 2Indian Institute of Technology Madras via Swayam Probabilistic Deep Learning with TensorFlow 2
Imperial College London via Coursera Introduction to Deep Learning
Massachusetts Institute of Technology via YouTube Spatial Computational Thinking
National University of Singapore via edX DALL-E - Zero-Shot Text-to-Image Generation - Paper Explained
Aleksa Gordić - The AI Epiphany via YouTube