05.1 – Latent Variable Energy Based Models (LV-EBMs), inference

Course website: http://bit.ly/DLSP21-web
Playlist: http://bit.ly/DLSP21-YouTube
Speaker: Alfredo Canziani

Chapters
00:00 – Affine transformation in 2 and 3D by ‪@LeiosLabs‬ (James Schloss)
01:21 – Thanks for sending me a Wacom graphic tablet
01:50 – Inference for LV EBM (we're given a model)
04:32 – Training samples: one to many mapping
13:10 – Let's simplify stuff: the unconditional case
15:56 – Untrained model manifold generation
21:15 – The Energy Function, tadaaa 🎉
24:51 – Indexing energy function by picking individual training samples
31:41 – The 23rd energy (U shaped)
39:27 – The 10th energy (~ shaped)
46:07 – The Free Energy (definition and the 10th example)
51:59 – The 23rd free energy
53:07 – Computing the free energy for the entire 𝒴 space
1:00:01 – That was it :)