Principle of maximum entropy

Formal sciences
Mathematics
Geometry
Differential geometry

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (30)

Page 2 of 3

Information Theory: Quantifying Messages and Source Entropy

Covers quantifying information in messages, source entropy, common information, and communication channel capacity.

Entropy and Information Theory

Explores entropy, uncertainty, coding theory, and data compression applications.

Entropy and KL Divergence

Explores entropy, KL divergence, and maximum entropy principle in probability models for data science.

Information Theory: Entropy and Capacity

Covers concepts of entropy, Gaussian distributions, and channel capacity with constraints.

Replica Symmetry Breaking: Full Solution & Condensation

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

Phase Transitions: Understanding Thermodynamic Stability

Explores phase transitions in thermodynamics, focusing on stability criteria and real-world applications.

Generative Models: Self-Attention and Transformers

Covers generative models with a focus on self-attention and transformers, discussing sampling methods and empirical means.

Interpretation of Entropy

Explores the concept of entropy expressed in bits and its relation to probability distributions, focusing on information gain and loss in various scenarios.

Information Measures: Entropy and Information Theory

Explains how entropy measures uncertainty in a system based on possible outcomes.

Classical Thermodynamics: Fundamentals and Principles

Covers classical thermodynamics fundamentals, including boundary conditions, internal energy, entropy, and equilibrium principles.