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From GANs to Variational Divergence Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization, NIPS 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization (NIPS 2016)
Intuitively Understanding the KL Divergence
The Math Behind Generative Adversarial Networks Clearly Explained!
Lecture 13 | Generative Models
Ian Goodfellow: Generative Adversarial Networks (NIPS 2016 tutorial)
CS480/680 Lecture 21: Generative networks (variational autoencoders and GANs)
MIT 6.S191 (2023): Deep Generative Modeling
A survey on generative adversarial networks: fundamentals and recent advances
[Classic] Generative Adversarial Networks (Paper Explained)
Variational Autoencoder - Model, ELBO, loss function and maths explained easily!