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Deep Generative Modeling

Deep Generative Modeling - Hardcover

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Availability:In StockContributor:Jakub M. TomczakPublish date:2024-09-11Pages:313
Language:EnglishPublisher:SpringerISBN-13:9783031640865ISBN-10:3031640861UPC:9783031640865Book Category:Computers, MathematicsBook Subcategory:Artificial Intelligence, Probability & Statistics, Computer ScienceSize:9.21 x 6.14 x 0.81 inchesWeight:1.4418Product ID:SC7MGRXTC2

Deep Generative Modeling

This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all major classes of deep generative models: mixture models, Probabilistic Circuits, Autoregressive Models, Flow-based Models, Latent Variable Models, GANs, Hybrid Models, Score-based Generative Models, Energy-based Models, and Large Language Models. In addition, Generative AI Systems are discussed,...

Language:EnglishPublisher:SpringerISBN-13:9783031640865ISBN-10:3031640861UPC:9783031640865Book Category:Computers, MathematicsBook Subcategory:Artificial Intelligence, Probability & Statistics, Computer ScienceSize:9.21 x 6.14 x 0.81 inchesWeight:1.4418Product ID:SC7MGRXTC2

Jakub M. Tomczak is an associate professor and the head of the Generative AI group at the Eindhoven University of Technology (TU/e). Before joining the TU/e, he was an assistant professor at Vrije Universiteit Amsterdam, a deep learning researcher (Engineer, Staff) in Qualcomm AI Research in Amsterdam, a Marie Sklodowska-Curie individual fellow in Prof. Max Welling's group at the University of...

Publisher: Springer

Edition

2nd Second 2024 Edition

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