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
What a great lecture! Thank you for publishing this.
(3:38) "of course, this does not apply to Keanu Reeves" :D
Tom Cruise
Great lecture!
in simple words. Fantaaaaaaastic
Awesome lecture Priyan.!
it is good explanation lecture. Thank you
excellent, thanks!
Great lecture! Thanks
Wonderful lecture. Thanks much.
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.."
can anyone tell me from where to start a gaussian distribution or x distribution
How do you tell what the latent space encodes for?
very good explanation, where can i get slides of this lecture?
got it! cs.uwaterloo.ca/~ppoupart/teaching/cs480-spring19/slides/cs480-lecture23.pdf
objective function 25:55
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