/latent-variable-papers

List of papers for understanding latent variable models

  1. Auto-Encoding Variational Bayes. (arxiv)
  2. Early Visual Concept Learning with Unsupervised Deep Learning. (arxiv)
  3. Variational Inference with Normalizing Flows. (arxiv)
  4. PixelVAE: A Latent Variable Model for Natural Images. (openreview)
  5. Improving Variational Inference with Inverse Autoregressive Flow (arxiv)
  6. Importance Weighted Autoencoders. (arxiv)
  7. Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. (arxiv)
  8. DRAW: A Recurrent Neural Network For Image Generation. (arxiv)

List of papers for understanding GANs

  1. Generative Adversarial Networks.(arxiv)
  2. Improved Techniques for Training GANs. (arxiv)
  3. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets (arxiv)