Thank you very much for providing this great lecture. Just a note: in the slide title, it is "conservation of probability mass", not "conversation of.."
On this channel this video has highest views and i am pretty sure this is because of indian name(priyank jaini). India has totally overflowed the amount of engineers it produces every year.
27:12 Autoregressive Flows (AR)
29:56 AR with Gaussian Conditionals
33:49 Masked Autoregressive Flows (MAF)
37:15 Real-NVP
40:12 Real-NVP (for real this time)
41:25 Neural Autoregressive Flows (NAF)
43:37 Sum-of-Squares Polynomial Flows (SOS)
47:35 Glow: invertible 1x1 convolutions
59:40 The catch of normalizing flows
For me, this is the best lecture on the hole internet about Normalizing flows, Thanks a lot
Slides: cs.uwaterloo.ca/~ppoupart/teaching/cs480-spring19/slides/cs480-lecture23.pdf
(3:38) "of course, this does not apply to Keanu Reeves" :D
Tom Cruise
What a great lecture! Thank you for publishing this.
Great lecture!
Awesome lecture Priyan.!
in simple words. Fantaaaaaaastic
it is good explanation lecture. Thank you
objective function 25:55
Thank you very much for providing this great lecture. Just a note: in the slide title, it is "conservation of probability mass", not "conversation of.."
excellent, thanks!
Wonderful lecture. Thanks much.
How do you tell what the latent space encodes for?
Great lecture! Thanks
can anyone tell me from where to start a gaussian distribution or x distribution
very good explanation, where can i get slides of this lecture?
got it! cs.uwaterloo.ca/~ppoupart/teaching/cs480-spring19/slides/cs480-lecture23.pdf
On this channel this video has highest views and i am pretty sure this is because of indian name(priyank jaini).
India has totally overflowed the amount of engineers it produces every year.
not even a chuckle for the keuana reeves reference!!
graduate or undergraduate course?
Cross-listed