Jacob Zavatone-Veth (@jzavatoneveth) 's Twitter Profile
Jacob Zavatone-Veth

@jzavatoneveth

Junior Fellow @Harvard, working on neural computation.

ID: 1248597446848102401

linkhttp://jzv.io calendar_today10-04-2020 13:03:44

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Nigel Goldenfeld. @NigelGoldenfeld.bsky.social (@nigelgoldenfeld) 's Twitter Profile Photo

Bravo to Steven Strogatz for attempting the impossible task of presenting the renormalization group method for singular perturbation problems in one lecture! Here's a short thread that he inspired me to write while taking a break from final exam grading & COVID-19 work for UIUC.

Rajesh P. N. Rao (@rajeshpnrao) 's Twitter Profile Photo

Excited to announce that Nature Neuroscience Nature Neuroscience has published my article "A sensory-motor theory of the neocortex" (based on active predictive coding). #Neuroscience #AI #brain PDF: homes.cs.washington.edu/~rao/Rao-Natur… Article page: nature.com/articles/s4159…

Stefano Sarao Mannelli (@stefsmlab) 's Twitter Profile Photo

Very excited to announce openings for my first 2 lab members Chalmers University of Technology 1️⃣ PhD in theory of ML bias [chalmers.se/om-chalmers/ar…] 2️⃣ Postdoc in ML theory [chalmers.se/om-chalmers/ar…] Beautiful campus, a liveable city near an archipelago 🛶 Work closely with me to shape the lab! 🌱

Ariel Amir (@ariel_4321) 's Twitter Profile Photo

I am teaching John Hopfield's kinetic proofreading in a course on Seminal Papers. While preparing class I bumped into these fascinating autobiographical notes by him. It describes his path to biophysics, with important lessons on how to choose "A Problem" pni.princeton.edu/sites/g/files/…

Bruno Loureiro (@_brloureiro) 's Twitter Profile Photo

Happy to join Physical Review E as an Associated Editor for machine learning. PRE is home to some of the most influential works in the intersection between Physics and ML since the 80s - and I look forward to foster this presence. Send us your works 🙂 ! journals.aps.org/pre/edannounce…

Leo Kozachkov (@leokoz8) 's Twitter Profile Photo

Very excited to share two big life updates! 1) Starting in Fall 2025, I will be joining Brown University's school of engineering (Brown Engineering) as a tenure-track Assistant Professor of Engineering, with an appointment in the Carney Institute for Brain Science. 1/4

Very excited to share two big life updates! 1) Starting in Fall 2025, I will be joining <a href="/BrownUniversity/">Brown University</a>'s school of engineering (<a href="/brownengin/">Brown Engineering</a>) as a tenure-track Assistant Professor of Engineering, with an appointment in the <a href="/CarneyInstitute/">Carney Institute for Brain Science</a>.

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Alex Atanasov (@abatanasov) 's Twitter Profile Photo

This book is without question one of the best I’ve read in graduate school. The techniques they introduce are more timely now than ever before as tools to open the black boxes of deep learning, neuroscience, and high dimensional statistics

Sam McDougle (@smickdougle) 's Twitter Profile Photo

Extremely chuffed about this new preprint. How does the human auditory system track "pitch motion"? It turns out, it's the same way the visual system tracks motion (🤯)! Come for a NEW auditory illusion, stay for the fMRI & natural speech analysis! biorxiv.org/content/10.110…

IAIFI (@iaifi_news) 's Twitter Profile Photo

We’ve moved to the chalkboard today for Cengiz Pehlevan’s #IAIFISummerSchool lecture on “Scaling and renormalization in high-dimensional regression.”

We’ve moved to the chalkboard today for <a href="/CPehlevan/">Cengiz Pehlevan</a>’s #IAIFISummerSchool lecture on “Scaling and renormalization in high-dimensional regression.”
Lenka Zdeborova (@zdeborova) 's Twitter Profile Photo

Math is beautiful! The free convolution of a semicircle law and Marcheko-Pastur leads to the optimal test error when learning a target function corresponding to an extensive-width neural network with a quadratic activation. More in arxiv.org/abs/2408.03733

Math is beautiful! The free convolution of a semicircle law and Marcheko-Pastur leads to the optimal test error when learning a target function corresponding to an extensive-width neural network with a quadratic activation. More in arxiv.org/abs/2408.03733
Sam Power (@sp_monte_carlo) 's Twitter Profile Photo

very fun! curious about whether the heat flow interpretation of NW has any relevance here arxiv.org/abs/2408.03769 'Nadaraya-Watson kernel smoothing as a random energy model' - Jacob A. Zavatone-Veth, Cengiz Pehlevan

very fun! curious about whether the heat flow interpretation of NW has any relevance here

arxiv.org/abs/2408.03769
'Nadaraya-Watson kernel smoothing as a random energy model'
- Jacob A. Zavatone-Veth, Cengiz Pehlevan
David Clark (@d_g_clark) 's Twitter Profile Photo

1/ Excited to share new work with online, learning guy, Alex van Meegen, and Ashok Litwin-Kumar! "Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks" analyzes how global, spectral structure of connectivity in real-world networks affects collective dynamics.