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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
SpringNuance/Deep-Generative-Models
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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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