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Great example of the power of expectations to shape perception: The visual system is so determined to see faces as convex, rather than concave, that it’s virtually impossible not to see the illusion – even when you know what’s going on. https://i.imgur.com/INY1RBd.gifv pic.twitter.com/6YajWZOMFd
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Is this my body? Check my new post with @guiolpei at the@TU_Muenchen School of Robotics blog about#robot body perception using variational inference.
https://msrmblog.github.io/is-this-my-body-1/ …
2nd part -> Deep Active Inference coming soon!
[Great initiative from @ax_sauer &@EliJalbout]pic.twitter.com/6sjh0qaCbe
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Check out our extensive review paper on normalizing flows! This paper is the product of years of thinking about flows: it contains everything we know about them, and many new insights. With
@eric_nalisnick,@DeepSpiker,@shakir_za,@balajiln. http://arxiv.org/abs/1912.02762 Thread
https://twitter.com/DeepSpiker/status/1202868429780336640 …
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ICYMI: Rank measures how many rational solutions to an equation one needs in order to find every other rational solution. For decades, mathematicians believed there was no limit to the rank of an elliptic curve. Not so, says a new model.https://www.quantamagazine.org/without-a-proof-mathematicians-wonder-how-much-evidence-is-enough-20181031 …
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Oldies but goldies: G. H. Golub, Christian Reinsch, Singular value decomposition and least squares solutions, 1970. The most popular algorithm to compute efficiently the SVD decomposition. https://en.wikipedia.org/wiki/Singular_value_decomposition …pic.twitter.com/esxUfkpbiZ
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In the figure a example application to deep learning models:pic.twitter.com/TMc8wIh8SC
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We are happy to share our joint work on the Indian chef process. A nonparametric prior for directed Bayesian networks. You can use this process to infer the existence of new variables affecting your observations. https://arxiv.org/abs/2001.10657
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Yes! I got my first big conference paper accepted at ICLR, with spotlight! We improve the previous DeepMind paper "NALU" by 3x-20x. – This took 7-8 months, working without any funding as an independent researcher. Paper: https://openreview.net/forum?id=H1gNOeHKPS … Code: https://github.com/AndreasMadsen/stable-nalu …pic.twitter.com/7tBivzbyir
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I am hiring a graduate student to join our group at the
@DondersInst (full position, 4 years funding)! Please apply if you are interested in working on machine/deep learning and visual cognitive neuroscience. Details here: https://www.ru.nl/werken-bij/vacature/details-vacature/?recid=1072356 … Please share/RT far and wide!Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Preprint: Causal inference using Bayesian nonparametric quasi-experimental design If you want to know your intervention worked, but you cannot do randomized controlled trials. Includes example on Dutch voting behaviour! With
@LucaAmb and@marcelgepic.twitter.com/zekpVX8vzc
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English should adopt "non" as a word so that we can get rid of all these dashes!
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Our new preprint on the ‘Neural dynamics of perceptual inference and its reversal during imagery’ with
@LucaAmb and@marcelge is out now! We reveal feedforward and feedback dynamics of stimulus processing during perception and imagery. A thread 1/Nhttps://www.biorxiv.org/content/10.1101/781294v1 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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We are currently researching new methods for constructing variational distributions automatically (beyond the standard mean field approach). If you know some literature about this topic please let us know! (And retweet if you have followers who could know!)
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A new
@artcogsys preprint! We present DeepRF: ultrafast population receptive field (pRF) mapping with#deeplearning. With similar performance in a fraction of the time, it enables modeling of more complex pRF models, resolving an important limitation of the conventional method.https://twitter.com/biorxivpreprint/status/1161307573146005504 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Check-out TaylorAlgebra. A small
#Python package for symbolic Taylor expansions. We are soon going to support#PyTorch and use it for perturbative machine learning in Brancher. https://github.com/LucaAmbrogioni/TaylorAlgebra …pic.twitter.com/nQfdA2MXNE
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AI learns to generate realistic videos by watching YouTube clipshttps://medium.com/syncedreview/deepmind-dvd-gan-impressive-step-toward-realistic-video-synthesis-12027d942e53 …
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We are happy to share Brancher .35 with dedicated support for stochastic processes, infinite models and timeseries analysis. Try this on our new tutorial! https://colab.research.google.com/drive/1dqc-5DqJOrNw6CR96CDrarrKQ2KSabDH … If you like our work, please share it and star us on Github! :) https://github.com/AI-DI/Brancher
#PyTorchpic.twitter.com/Zq0kcWvCC5
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Our new-ish, neural, pure Python stanfordnlp package provides grammatical analyses of sentences in over 50 human languages! https://stanfordnlp.github.io/stanfordnlp/ Version 0.2.0 brought sensibly small model sizes and an improved lemmatizer. Try it out: pip install stanfordnlppic.twitter.com/J72ivHrC8E
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My lab at NYU has a new postdoc position in self-supervised learning. Work with me to model child headcam videos, with the aim of learning knowledge of objects and agents from raw input. Please circulate. https://apply.interfolio.com/65670
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Sad to hear of the passing today of AI pioneer Patrick Winston. His 1970 PhD on machine learning was one of my greatest inspirations when I was a PhD student - he went on to do so much more, including leading MIT's AI lab for 25 years. RIP Patrick.
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