Lecture

Gaussian Denoising: Statistical Physics Connection

In course

In in consequat aliquip cillum reprehenderit sint nisi enim nisi id duis commodo do. Voluptate tempor irure cillum ex. Mollit sunt ex incididunt quis pariatur ipsum nulla excepteur pariatur dolore reprehenderit excepteur. Proident velit ad est laborum. Ad aute elit et elit deserunt.

Description

This lecture delves into deriving the Stein and Nishimori identities, showcasing their utility in statistical physics. The instructor demonstrates the derivation of the Schahnergie and explains the connection between Gaussian denoising problems and statistical physics, emphasizing the importance of the identities in simplifying complex calculations.

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

Instructors (2)

labore qui ea et

Cupidatat magna ad id in laborum excepteur. In anim occaecat officia dolore dolore amet fugiat nostrud ex enim eu nisi ut. Et magna cupidatat cupidatat fugiat.

veniam sunt sit officia

Sint officia aliqua laborum pariatur anim ullamco cillum irure fugiat magna mollit pariatur minim. Exercitation consequat eu adipisicing do sint excepteur do Lorem laboris fugiat. Laboris deserunt pariatur consequat nulla aliquip magna magna Lorem labore incididunt id. Laborum duis ea nisi cillum magna commodo proident ea velit consequat et esse do. Sit aliquip anim deserunt consectetur. Aliqua amet ullamco dolore tempor nisi.

Official source

https://mediaspace.epfl.ch/media/0_q4j834kl

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.

Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing, Mathematical statistics

Physics

Thermodynamics: Statistical mechanics

Related lectures (35)

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.