Skip to content
  • About this

Deep Dive Papers

Diving into machine learning research

  • About this

Month: May 2020

Sampling Technical notes Uncategorised

Learning a discretized mixture of logits

I have been trying to wrap my head around the way PixelCNN++ is using discretized mixture of logistic distributions to sample pixels and could not find a single comprehensive source about it, so I wrote a blog post incorporating everything I learned along the way

Continue Reading
3D Primitives Shape manipulation

Learning Shape Abstraction by Assembling Volumetric Primitives

One of the best ways to know that you understand a subject is when you are able to summarize it in a concise manner. Similarly, one of the recurring themes in scientific research is to explain a phenomena using simple patterns. These simple patterns allows us to interpret, predict and manipulate the world around us much more easily than if we chose more complex representations.

Continue Reading

Recent Posts

  • The Nice And Accurate Model Compression Post
  • Learning a discretized mixture of logits
  • Learning Shape Abstraction by Assembling Volumetric Primitives

Recent Comments

  • Danny on Learning a discretized mixture of logits

Archives

  • September 2024
  • May 2020

Categories

  • 3D
  • Primitives
  • Sampling
  • Shape manipulation
  • Technical notes
  • Uncategorised

Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org
© 2025 Deep Dive Papers – Kokoro Theme by ZThemes Studio