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The 1986 classic 'Parallel Distributed Processing' uses the term 'threshold function' instead of 'rectified linear unit'. I prefer the 1986 version :)pic.twitter.com/qLB4GbKWsL
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Check out my recent work with
@nsajidt and@WCHN_UCL on how active inference is, like, totally better than reinforcement learning: https://arxiv.org/abs/1909.10863#ActiveInference#ReinforcementLearningHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Active inference on discrete state-spaces: a synthesis. http://arxiv.org/abs/2001.07203
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Noor Sajid proslijedio/la je Tweet
First-order methods are great but we never know which one to use. In our paper (w/ John Duchi) https://arxiv.org/pdf/1909.10455 , we tell you which one to use and when, depending on the quadratic convexity of the constraints. Also, adaptivity matters. To appear at
#NeurIPS2019 as an oral.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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1/ Why do wide, random neural networks form Gaussian processes, *regardless of architecture*? Let me give an overview in case you are too lazy to check out the paper https://arxiv.org/abs/1910.12478 or the code https://github.com/thegregyang/GP4A …. The proof has two parts…pic.twitter.com/cKtfpRGMQd
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Noor Sajid proslijedio/la je Tweet
We introduce LOGAN, a game-theory motivated algorithm, which improves the state-of-the-art in GAN image generation by over 30% measured in FID: https://arxiv.org/abs/1912.00953 Here are samples showing higher diversity:pic.twitter.com/GkdRofrYRt
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So it's entirely possible to get better statistical and behavioural accuracy with dual lesions, relative to singular lesions (Sprague: 1966). Fascinated by compensatory augmentation in my simulated agent - paradoxical af.
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Noor Sajid proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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New paper! Using a new VR-based grasping task and fMRI-DCM, we show that a task-induced attentional set to vision *or* proprioception is reflected by diametrical changes in neuronal gain in visual (V1) vs somatosensory (S2) areas.
@WCHN_UCL@MSCActions https://academic.oup.com/cercor/advance-article/doi/10.1093/cercor/bhz192/5588471 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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What can the free energy principle tell us about the brain? New paper at
@NBDT_journal by@gershbrain :https://nbdt.scholasticahq.com/article/10839-what-does-the-free-energy-principle-tell-us-about-the-brain …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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New preprint: we show that regulating the impact of visual vs proprioceptive prediction errors helps with goal-directed hand movements under intersensory conflicts.https://twitter.com/biorxiv_neursci/status/1181356211318530048 …
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One of the saddest things about the field of AI is how ahistorical and siloed it is. Some of the key debates of our day (e.g. innate priors vs "blank slate" minds) have been going on for many decades, across multiple fields, and deep learners have *zero* knowledge of this context
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Do you formally know Monte-Carlo and TD learning, but don't intuitively understand the difference? This is for you. https://distill.pub/2019/paths-perspective-on-value-learning/ … (with
@samgreydanus)pic.twitter.com/6RwsBjFbU9Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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My excellent PhD student
@MBerkMirza had the last paper of his PhD published today: https://rdcu.be/bRWOj - work with@FarlKriston and Thomas Parr... He devised a cool model of selective attention within a Bayesian framework (active inference) 1/Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Our preprint, with Karl Friston,
@philipjohnball and myself, on 'Demystifying active inference' is now out on ariXv: https://arxiv.org/abs/1909.10863 . It is a simplified perspective on active inference using a T-maze simulation!@WCHN_UCLHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Do we exist in multiple worlds? Induced by measurements that are any interactions that cause a quantum system to become entangled with the environment, creating a branching into separate worlds, and (agents) we are any system that brings about such an interaction.pic.twitter.com/61EA87797h
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I want Planck constant level of uncertainty, all-day and everyday.
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A straight line may be the shortest 𝑑𝑖𝑠𝑡𝑎𝑛𝑐𝑒 between two points, but a "Brachistochrone" curve is the path of least timepic.twitter.com/aWPoz9X6i9
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How can the brain modify its own structure?
#neuromusingspic.twitter.com/DmLl6P8H6C
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