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Variational Inference with Normalizing Flows, Tuesday March 10 #3

Open jiwoncpark opened 4 years ago

jiwoncpark commented 4 years ago

Rezende and Mohamed 2015 is a classic paper on using normalizing flows, rather than e.g. mean-field approximations, for variational inference. Normalizing flows are appropriate for problems with degeneracies and outliers, as they represent a more flexible family of posterior distributions as compared with factorized Gaussians. Flow-based models were also heavily endorsed by Francois at the Likelihood-free Inference Workshop! They deserve mention in our DL lit review, I think.

Possibly interesting keywords: RealNVP, NICE, Glow (models with normalizing flows) MADE, PixelRNN, WaveNet, MAF, IAF (models with autoregressive flows)

drphilmarshall commented 4 years ago

Thanks @jiwoncpark ! Through a mixture of business and absent-mindedness we seem to have skipped a meeting, but the calendar tells me that we are due to meet next week, Tuesday March 10. How about we take a look at this paper you suggest next time? What do you think, everyone?

jiwoncpark commented 4 years ago

Slides here

makagan commented 4 years ago

Hi All, will you be setting up a ZOOM?