NIPS Proceedingsβ

Aaron van den Oord

8 Papers

  • Generating Diverse High-Fidelity Images with VQ-VAE-2 (2019)
  • Shaping Belief States with Generative Environment Models for RL (2019)
  • Wasserstein Dependency Measure for Representation Learning (2019)
  • The challenge of realistic music generation: modelling raw audio at scale (2018)
  • Neural Discrete Representation Learning (2017)
  • Conditional Image Generation with PixelCNN Decoders (2016)
  • Factoring Variations in Natural Images with Deep Gaussian Mixture Models (2014)
  • Deep content-based music recommendation (2013)