Speaker
Yizhuang You
Description
In this talk, I will introduce the machine learning renormalization group method, a hierarchical flow-based generative model motivated by the idea of the renormalization group in physics. Given the action of a field theory, the algorithm learns the optimal renormalization group transformation and maps the field configuration from the holographic boundary to the bulk, which enables efficient sampling and error correction. Beyond physics applications, I will also demonstrate the application of this method in the image and language processing domain.
Primary author
Yizhuang You
