Lectures related to Curie-Weiss Model

The Curie-Weiss Model: Overview and Applications

Covers the Curie-Weiss model, discussing its theoretical foundations and practical applications in physical systems.

Random Field Ising Model: Overview and Analysis

Provides an in-depth analysis of the Random Field Ising Model, covering model description, free entropy, and mean field algorithm.

Curie-Weiss Model: Magnetization and Phase Transition

Explores the Curie-Weiss model, magnetization, and phase transitions in materials.

Random Field Ising Model on Graphs

Explores the Random Field Ising Model on random graphs, discussing belief propagation updates and population dynamics.

Curie Weiss Model

Covers the Curie-Weiss model in Statistical Physics, including magnetization probability, free entropy, and the cavity method.

Entropy Bounds: Conditional Entropy Theorems

Explores entropy bounds, conditional entropy theorems, and the chain rule for entropies, illustrating their application through examples.

Bethe Free Entropy

Covers the computation of Bethe free entropy and the interpretation of messages between variables and factors.

Information Theory Basics

Introduces information theory basics, including entropy, independence, and binary entropy function.

Source Coding Theorem

Explores the Source Coding Theorem, entropy, Huffman coding, and conditioning's impact on entropy reduction.

Local Fields and Correlations in Ising Models

Covers local fields and correlations in Ising models and conformal field theory.

Statistical Field Theory

Covers the basics of statistical field theory, focusing on Ising models and the Ginsburg-Landau theory.

Energy Minimization in Biological Systems: Equilibrium Models

Covers energy minimization models in biological systems, focusing on equilibrium and the roles of entropy and hydrophobicity.

Replica Symmetry Breaking: Full Solution & Condensation

Explores Replica Symmetry Breaking in the Random Energy Model, discussing configurational entropy and condensation.

Random Walks and Moran Model in Population Genetics

Explores random walks, Moran model, bacterial chemotaxis, entropy, information theory, and coevolving sites in proteins.

Density of States and Bayesian Inference in Computational Mathematics

Explores computing density of states and Bayesian inference using importance sampling, showcasing lower variance and parallelizability of the proposed method.

Renormalization Group in Field Theory

Explores the Renormalization Group in field theory, discussing scaling functions, critical exponents, and Gaussian fixed points.

Conditional Entropy: Review and Definitions

Covers conditional entropy, weather conditions, function entropy, and the chain rule.

Bipartite systems - Entanglement

Covers the concept of entanglement in bipartite systems, focusing on entropy and Schmidt decomposition.

Lecture: Shannon

Covers the basics of information theory, focusing on Shannon's setting and channel transmission.

Entropy and the Second Law of Thermodynamics

Discusses entropy, the second law of thermodynamics, and their implications in physical systems.