Robotics & Perception/Unsupervised Learning

[CS294 Pieter Abbeel] 3. Likelihood Models: Flow Models

이 글은 필자가 Pieter Abbeel 의 Deep Unsupervised Learning 2020을 듣고 정리한 글입니다.

This lecture deal with a latent representation to get a density model $p_\theta(x)$.

🪸 Foundations of Flows (1-D)

🪸 2-D Flows

🪸 N-D Flows

🪸 Dequantization