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Charline Le Lan proslijedio/la je Tweet
Very excited to present our Poincaré VAE
@NeurIPSConf !! Had fun working with@charlinelelan@cjmaddison@ryotat and@yeewhye! Will be from 10.45am at East exhibition hall B + C #109 Check out the just updated paper and code! https://arxiv.org/abs/1901.06033 https://github.com/emilemathieu/pvae …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Charline Le Lan proslijedio/la je Tweet
Learning to learn in function space by extending functional gradient descent. We introduce MetaFun, a SOTA meta-learning approach: https://arxiv.org/abs/1912.02738 With
@jeanfrancois287@hyunjik11@arkosiorek@yeewhyepic.twitter.com/Uc0ezDaFY9
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Charline Le Lan proslijedio/la je Tweet
Thrilled to share my paper: "Scalable methods for computing state similarity in deterministic MDPs", which was accepted to
@RealAAAI#AAAI2020 Paper: https://arxiv.org/abs/1911.09291 Code: https://github.com/google-research/google-research/tree/master/bisimulation_aaai2020 … Intro video
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Charline Le Lan proslijedio/la je Tweet
I'm proud to share our work on a new version of capsule networks, called Stacked Capsule Autoencoders, with
@sabour_sara,@yeewhye and@geoffreyhinton: https://arxiv.org/abs/1906.06818 pic.twitter.com/BjixrWK4NG
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Charline Le Lan proslijedio/la je Tweet
Open sourced a
@PyTorch implementation of Neural Processes for both functions and images
Includes short tutorials and trained model weights for various image datasets
Github: https://github.com/EmilienDupont/neural-processes …pic.twitter.com/7RyZQD2LimHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Charline Le Lan proslijedio/la je Tweet
We show that there are functions Neural ODEs cannot represent. To overcome this we propose Augmented Neural ODEs which are more expressive, empirically reduce computational cost and improve generalization
With @ArnaudDoucet1@yeewhye Paper: http://arxiv.org/abs/1904.01681 pic.twitter.com/ExdOEaeCZCHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Charline Le Lan proslijedio/la je Tweet
‘Attentive Neural Processes’ is live! We learn stochastic processes using deep architectures, and once trained on images, the same model (with same weights) can do both stochastic bottom-half prediction and super-resolution. To appear
@iclr2019. https://arxiv.org/abs/1901.05761 pic.twitter.com/HW423FKweMHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Charline Le Lan proslijedio/la je Tweet
Hello world! As our first tweet we're happy to announce OxCSML group's participation at
#NeurIPS2018: 13 main conf papers co-authored, and workshop invited talks, orgs, and papers. http://csml.stats.ox.ac.uk/news/2018-11-08-nips-papers/ …http://csml.stats.ox.ac.uk/news/2018-11-23-neurips-workshops/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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