Lecture

Replica computation and machine learning

Description

This lecture covers the replica computation method to find the ground state energy of a system, along with an algorithm that updates configurations to minimize energy. The instructor explains the self-consistent equations, the state evolution of configurations, and the connection with machine learning concepts, such as fitting functions with tunable parameters. The lecture emphasizes the importance of understanding the algorithm's temporal evolution and the state evolution in tracking configuration changes. The replica prediction and the algorithm's results are compared, showing how the algorithm converges to the ground state energy.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.