Curie-Weiss Model

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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.

Conditional Entropy and Data Compression Techniques

Discusses conditional entropy and its role in data compression techniques.

Entropy and the Second Law of Thermodynamics

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

Bayesian Inference: Optimal Estimation

Explores optimal Bayesian inference, denoising, scalar estimation, and phase transitions.

Scaling & Renormalization in Statistical Mechanics

Explores scaling and renormalization in statistical mechanics, emphasizing critical points and invariant properties.

Entropy and Data Compression: Huffman Coding Techniques

Discusses entropy, data compression, and Huffman coding techniques, emphasizing their applications in optimizing codeword lengths and understanding conditional entropy.

Belief Propagation in Random Graphs

Explores belief propagation in random graphs and Bethe free entropy.

Magnetic Order: Critical Behavior

Explores critical exponents in ferromagnets, different models like Heisenberg, XY, and Ising, and their significance in various systems.