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Extremely happy that my work presenting theoretical-RNN is now online! Check below for a thread 🧵 w/ @NachmaniEliya, Lior Wolf and @shaharnitzan @of_sagol preprint link: biorxiv.org/content/10.110…
This year’s #NobelPrize laureate in physics John Hopfield created an associative memory that can store and reconstruct images and other types of patterns in data. The Hopfield network can store patterns and has a method for recreating them. When the network is given an…
בשבוע שעבר התקיימה ברחבי העולם ריצת Terry Fox. זו הזדמנות לכתוב על אחד מסיפורי הריצה הכי מעוררי השראה. דמיינו את עצמכם רצים, מרתון, יום אחרי יום, בתנאי מזג אויר קשים (גשם, שלג, רוח). עכשיו דמיינו שהכל על רגל אחת ופרוטזה. שרשור קצר ריצה של 143 יום ו-5373 ק"מ - מרתון התקווה.🧵
“An expert is a person who has made all the mistakes that can be made in a very narrow field.” – Niels Bohr
Hopfield networks are recurrent networks minimizing an Ising-type energy parameterized by its weights. Learning weights means encoding patterns of +1/-1 as local minimizers. en.wikipedia.org/wiki/Hopfield_…
Cognitive models of behavior are a key part of neuroscience. But discovering them is hard! Neural networks are powerful models. But interpreting them cognitively is hard! We explore automatically learning interpretable models using "Disentangled RNNs" biorxiv.org/content/10.110…
📢 Pre-print Alert 📢 VERY excited to share my first first-author paper! "Exploring the Steps of Learning: Computational Modeling of Initiatory Actions Among Individuals with Attention-Deficit/Hyperactivity Disorder" 🧠✨🔬 @shaharnitzan #ADHD #RL 🔗Link: psyarxiv.com/38nks/
Adventure has a new home. The first four #IndianaJones movies arrive May 31 on @DisneyPlus
At #ICLR2023 and want to know what eligibility traces in RL have to do with neural oscillations ∿∿∿🧠∿∿∿? Come to my talk at 12 noon Kigali-time (11 am UK) tomorrow, 5th May! 🗣️ iclr.cc/virtual/2023/a… 📄openreview.net/forum?id=vd16A…
1/5 In our post scottaaronson.blog/?p=7266, Aaronson and I discuss potential scenarios for AI. In particular we say that for "super-intelligence" type scenarios, AI will need to break out of the current "sheer data&compute scale" paradigm. Given Moore's law, why is this the case?
Happy that our paper on meta-learned theories of cognition has finally been submitted. Joint work with Marcel Binz, Ishita Dasgupta, @akjagadish, Matt Botvinick, and @janexwang Link: arxiv.org/abs/2304.06729
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