Deep Generative Modeling

Deep Generative Modeling

Tomczak, Jakub M.

Springer International Publishing AG

09/2024

313

Dura

9783031640865

15 a 20 dias

Descrição não disponível.
Chapter 1 Why Deep Generative Modeling?.- Chapter 2 Probabilistic modeling: From Mixture Models to Probabilistic Circuits.- Chapter 3 Autoregressive Models.- Chapter 4 Flow-based Models.- Chapter 5 Latent Variable Models.- Chapter 6 Hybrid Modeling.- Chapter 7 Energy-based Models.- Chapter 8 Generative Adversarial Networks.- Chapter 9 Score-based Generative Models.- Chapter 10 Deep Generative Modeling for Neural Compression.- Chapter 11 From Large Language Models to Generative AI.
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Generative AI;Large Language Models;Autoregressive models;Diffusion models;Score-based Generative Models;Latent Variable Models;Flow-based models;GANs;Energy-based Models;Boltzmann Machines;Hybrid Models;Probabilistic Circuits