
Deep Generative Modeling
$136.49
- Hardcover
313 pages
- Release Date
11 September 2024
Summary
Deep Generative Modeling: A Comprehensive Guide to Generative AI
This comprehensive book delves into the models that power Generative AI, thoroughly covering 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. It also explores Generative AI Systems, demonstrating how deep generative mode…
Book Details
ISBN-13: | 9783031640865 |
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ISBN-10: | 3031640861 |
Author: | Jakub M. Tomczak |
Publisher: | Springer International Publishing AG |
Imprint: | Springer International Publishing AG |
Format: | Hardcover |
Number of Pages: | 313 |
Edition: | 2nd |
Release Date: | 11 September 2024 |
Weight: | 680g |
Dimensions: | 235mm x 155mm |
About The Author
Jakub M. Tomczak
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 Amsterdam, and an assistant professor and a postdoc at the Wroclaw University of Technology. His main research interests include ML, DL, deep generative modeling (GenAI), and Bayesian inference, with applications to image/text processing, Life Sciences, Molecular Sciences, and quantitative finance. He serves as an action editor of “Transactions of Machine Learning Research”, and an area chair of major AI conferences (e.g., NeurIPS, ICML, AISTATS). He is a program chair of NeurIPS 2024. He is the author of the book entitled “Deep Generative Modeling”, the first comprehensive book on Generative AI. He is also the founder of Amsterdam AI Solutions.
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