A big shout-out to @gpapamak and @eric_nalisnick for their great efforts to make sure this becomes a reality!
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Looking for something to read in your flight to #NeurIPS2019? Read about Normalizing Flows from our extensive review paper (also with new insights on how to think about and derive new flows) https://arxiv.org/abs/1912.02762 with @gpapamak @eric_nalisnick @DeepSpiker @balajiln @shakir_zapic.twitter.com/EWh8Aui7n0
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Shameless self-plug (if interested): 1) https://papers.nips.cc/paper/8904-blow-a-single-scale-hyperconditioned-flow-for-non-parallel-raw-audio-voice-conversion … Despite audio, there are general learnings, like using single-scale structure or forward-backward 'style' transfer. 2) https://arxiv.org/abs/1909.11480 Where show flow likelihoods are strongly influenced by input complexity.
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Great stuff... and beautiful. Very nice to have this in one place. I’m also very happy
@gpapamak and@Eric_nalisnick have joined the team ! -
In 2016
@glouppe and I were excited about the unification of generative modeling and likelihood-free inference with flows. We wrote a short piece on it in the@BriefJournal : an unusual format and venue. Nevertheless, I’m proud of those 200 words http://beta.briefideas.org/ideas/5c2f74aedbf3618ca180382e393c7617 …pic.twitter.com/pPodXCoQ43
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Thanks for the link - just what I needed today. Normalizing flows are also covered well in https://sites.google.com/view/berkeley-cs294-158-sp19/home … and this awesome blog post https://lilianweng.github.io/lil-log/2018/10/13/flow-based-deep-generative-models.html … by
@lilianweng -
@lilianweng's blog post is definitely one the best on the topic, I often point people to it when asked. There are also great blog posts by@ericjang11 and@arkosiorek: http://blog.evjang.com/2018/01/nf1.html … http://akosiorek.github.io/ml/2018/04/03/norm_flows.html …
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Good job suddenly upending my flight plans, Danilo
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Very clear presentation and figures--appreciate this timely review. For researchers new to this area,
@ari_seff just posted an introductory video on normalizing flows--worth checking out!https://twitter.com/ari_seff/status/1203039097230680075?s=20 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Great work! NFs provide a unified framework to understand probabilistic models. Thanks for your efforts!
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