Lecture

Replica Symmetry Breaking: REM

Related lectures (36)
Quantum Source Coding
Covers entropic notions in quantum sources, Shannon entropy, Von Neumann entropy, and source coding.
Quantum Information
Explores the CHSH operator, self-testing, eigenstates, and quantifying randomness in quantum systems.
Graphical Models: Representing Probabilistic Distributions
Covers graphical models for probabilistic distributions using graphs, nodes, and edges.
Replica Symmetry Breaking: Full Solution & Condensation
Explores Replica Symmetry Breaking in the Random Energy Model, discussing configurational entropy and condensation.
Generalization Error
Explores tail bounds, information bounds, and maximal leakage in the context of generalization error.
Estimation & Bayesian Inference
Covers demousing, estimation, Bayesian inference, likelihood, AWGN, and more.
Conditional Probability: Prediction Decomposition
Explores conditional probability, Bayes' theorem, and prediction decomposition for informed decision-making.
Random Variables and Expected Value
Introduces random variables, probability distributions, and expected values through practical examples.
Entropy and the Second Law of Thermodynamics
Covers entropy, its definition, and its implications in thermodynamics.
Advanced Probabilities: Random Variables & Expected Values
Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.

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.