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Course_ CS-E4891 - Deep Generative Models D, Lecture, 17.3.2025-6.6.2025 _ MyCourses.pdf		Course_ CS-E4891 - Deep Generative Models D, Lecture, 17.3.2025-6.6.2025 _ MyCourses.pdf
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Topic_ Course schedule _ CS-E4891 - Deep Generative Models D, Lecture, 17.3.2025-6.6.2025 _ MyCourses.pdf		Topic_ Course schedule _ CS-E4891 - Deep Generative Models D, Lecture, 17.3.2025-6.6.2025 _ MyCourses.pdf
Topic_ Lecture slides and notes _ CS-E4891 - Deep Generative Models D, Lecture, 17.3.2025-6.6.2025 _ MyCourses.pdf		Topic_ Lecture slides and notes _ CS-E4891 - Deep Generative Models D, Lecture, 17.3.2025-6.6.2025 _ MyCourses.pdf

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Deep-Generative-Models

About

This course covers fundamental and current topics of generative modeling and uncertainty quantification. Topics include Monte Carlo methods, Divergence measures, Variational inference, and autoencoders. Deep state-space models like Diffusion models and Generative Adversarial Networks

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