Spontaneous Symmetry Breaking in Generative Diffusion Models
Offered By: Generative Memory Lab via YouTube
Course Description
Overview
Explore the concept of spontaneous symmetry breaking in generative diffusion models through this 58-minute conference talk presented by Gabriel Raya. Delve into the research paper that examines this phenomenon and its implications for machine learning. Access additional resources, including a detailed blog post and the accompanying GitHub repository, to further understand the technical aspects and implementation details of this innovative approach to generative models.
Syllabus
Spontaneous symmetry breaking in generative diffusion models
Taught by
Generative Memory Lab
Related Courses
Neuronal DynamicsÉcole Polytechnique Fédérale de Lausanne via edX Neuronal Dynamics
École Polytechnique Fédérale de Lausanne via edX Risk and Reliability of offshore structures
Indian Institute of Technology Madras via Swayam Stochastic Processes
Indian Institute of Technology Delhi via Swayam Introductory Statistics : Basic Ideas and Instruments for Statistical Inference
Seoul National University via edX