Differential entropy

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Related lectures (26)

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Introduction: Course Structure and Fundamentals of Computing

Explores the role of Computing in society and the basics of computing, algorithms, communication systems, and computer security.

Probability Distribution and Entropy

Explains probability distribution, entropy, and Gibbs free entropy, along with the Weiss model.

Cryptography Fundamentals

Delves into the core principles of cryptography, emphasizing the challenges of key management and the impact of technology advancement on security.

Generative Models: Self-Attention and Transformers

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

Thermodynamics: Fundamentals and Applications

Explores the basics of thermodynamics, including energy transformation, laws, and entropy.

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.

Cavity and variational methods

Explores the cavity method for the run-fill Ising model and the variational method for approximating the Boltzmann distribution.

Conditional Entropy and Data Compression Techniques

Discusses conditional entropy and its role in data compression techniques.

Rigidity in Negative Curvature

Delves into the rigidity of negatively curved manifolds and the interplay between curvature and symmetry.

Conditional Entropy and Information Theory Concepts

Discusses conditional entropy and its role in information theory and data compression.