Tag: physics-informed models

MATH7017: Probabilistic Models and Inference

MATH7017: Probabilistic Models and Inference, Project 2023                    (total: 40 points) Conditional Generation with Variational Autoencoders and Generative Adversarial Networks Overview In this project, you will work with Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs). You will build and train conditional versions of these models to generate MNIST digits given

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