Sushrut Thorat (@martisamuser) 's Twitter Profile
Sushrut Thorat

@martisamuser

Recurrent computations and lifelong learning agents; #NeuroAI #CogSci
Postdoc @UniOsnabrueck with @TimKietzmann,
prev. @DondersInst @cimec_unitrento @iitbombay

ID: 3011623795

linkhttps://sushrutthorat.com/ calendar_today06-02-2015 18:50:08

5,5K Tweet

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Marcin Przewięźlikowski (@pszwnzl) 's Twitter Profile Photo

Our paper "Beyond [cls]: Exploring the True Potential of Masked Image Modeling Representations" has been accepted to #ICCV2025! 🧵 TL;DR: Masked image models (like MAE) underperform not just because of weak features, but because they aggregate them poorly. [1/7]

Our paper "Beyond [cls]: Exploring the True Potential of Masked Image Modeling Representations" has been accepted to <a href="/ICCVConference/">#ICCV2025</a>!

🧵 TL;DR: Masked image models (like MAE) underperform not just because of weak features, but because they aggregate them poorly.

[1/7]
Kartik (@code_kartik) 's Twitter Profile Photo

bored? build your own git: wyag.thb.lt build your own database: build-your-own.org/database/ build your own redis: build-redis-from-scratch.dev/en/introduction build your own neural networks: sausheong.github.io/posts/how-to-b… build your own os: youtube.com/watch?v=ZjwvMc… I can keep going....

SWC (@swc_neuro) 's Twitter Profile Photo

Applications are now open for the SWC Systems Neuroscience PhD Programme. Join us in London! 🧠 World-class neuroscience training 💰 Fully-funded 4-year programme 🖥️ Close links to Gatsby Computational Neuroscience Unit Apply by 3 Nov: sainsburywellcome.org/web/content/ph…

World Modeling Workshop 2026 (@worldmodel_26) 's Twitter Profile Photo

🚨 We’re honored to host Prof. Jürgen Schmidhuber (The Swiss AI Lab & KAUST) at the World Modeling Workshop 2026! ✨ A pioneer of modern AI, Prof. Jürgen Schmidhuber has made influential contributions that shaped the field — we’re thrilled to welcome him. 🌐 world-model-mila.github.io

🚨 We’re honored to host Prof. Jürgen Schmidhuber (The Swiss AI Lab &amp; KAUST) at the World Modeling Workshop 2026!

✨ A pioneer of modern AI, Prof. <a href="/SchmidhuberAI/">Jürgen Schmidhuber</a> has made influential contributions that shaped the field — we’re thrilled to welcome him.

🌐 world-model-mila.github.io
Princeton Neuroscience Institute (@princetonneuro) 's Twitter Profile Photo

Looking for a neuroscience postdoc opportunity with competitive salary + research funds? Apply for PNI's C.V. Starr Fellowship, which offers collaboration, mentorship, and up to 3 years of support! Applications due Oct 10. Learn more 🔗 pni.princeton.edu/apply/postdocs…

Looking for a neuroscience postdoc opportunity with competitive salary + research funds? Apply for PNI's C.V. Starr Fellowship, which offers collaboration, mentorship, and up to 3 years of support!

Applications due Oct 10.

Learn more 🔗 pni.princeton.edu/apply/postdocs…
Michael Levin (@drmichaellevin) 's Twitter Profile Photo

Poll time, just out of curiosity. ( This is in the context of our symposium, new talks and content updated every week: thoughtforms.life/symposium-on-t… . . ) How many of the professional mathematicians and physicists here think that the properties of mathematical objects are

The Transmitter (@_thetransmitter) 's Twitter Profile Photo

Figuring out how the brain uses information from visual neurons may require new tools, writes Grace Lindsay. Hear from 10 experts in the field. thetransmitter.org/the-big-pictur…

Thomas Fel (@napoolar) 's Twitter Profile Photo

🕳️🐇Into the Rabbit Hull – Part I (Part II tomorrow) An interpretability deep dive into DINOv2, one of vision’s most important foundation models. And today is Part I, buckle up, we're exploring some of its most charming features.

Ted Xiao (@xiao_ted) 's Twitter Profile Photo

There is a simple but universal reality that more are beginning to appreciate: the physical world is rate limiting. Whether you believe that AGI is imminent, that digital tool-using agents will completely disrupt knowledge work, that abstract scientific and creative work will be

Michael Eisen (@mbeisen) 's Twitter Profile Photo

One obvious thing we **should** have done when moving to electronic publication was switch to rich citations that point directly to what you are citing in a paper - a data point, a figure, a method, a conclusion - and explain why you are citing it. Another thing publishers

François Chollet (@fchollet) 's Twitter Profile Photo

To really understand a concept, you have to "invent" it yourself in some capacity. Understanding doesn't come from passive content consumption. It is always self-built. It is an active, high-agency, self-directed process of creating and debugging your own mental models.