🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Interesting analysis on the impact of open LLMs.

This is a great opportunity to secure funding for postdoc. My lab has a few research directions that align with the IVADO initiative: "Shifting Paradigms for a Robust, Reasoning, and Responsible Artificial Intelligence and its Adoption". Reach out if you’re interested!

If you’re at NeurIPS, Check out xiaoxuan_Lei poster on representational geometry in RNN models of working memory using natural sensory inputs!

Check out our latest work (and the tweeprint), Credit-based SOMs for training topographical deep nets! Very proud of this work led by the first undergraduate in my lab! Great job Amir Ozhan Dehghani

Looking to hire a student researcher to work on cool project for 6 months in DeepMind Montreal. Reqs: - Full-time masters/PhD student 🧑🏾‍🎓 - Substantial expertise in multi-agent RL, ideally including publication(s) 🤖🤖 - Strong Python coding skills 🐍 This you? Get in touch!

Very troubling. I believe the U.S. has just ruled itself out as a reasonable destination for scientific conferences. NeurIPS Conference ICML Conference ICLR 2026 Yann LeCun

At #COSYNE2025 ? Come by Motahareh Pourrahimi 's poster at 1pm [2-089] if you like to know about how cool her NN model of visual search is! Trained de novo on visual search, its fast, efficient, mimics human behaviour, and has a beautiful neural geometry.

Come by Amir Ozhan Dehghani poster if you are at #ICLR2025 and interested in topographical neural networks! When📅: Friday, April 25 from 10:00 AM to 12:30 PM Where: Hall 3 + Hall 2B #60

Come to our CCN workshop! Blending iophysical constraints and neural networks. Topographical ANNs + and much more. Meenakshi Khosla talia konkle pouya bashivan Nick Blauch Tim Kietzmann Laura Gwilliams Apurva Ratan Murty Jakob Macke Pieter Roelfsema Martin Schrimpf Andrew Miri Nabil Imam

🚨New paper 🚨 World models bake knowledge into weights, making them slow to adapt when environments change. We built one that infers from episodic memories instead. Check it out if you are interested in world modeling, episodic memory, spatial reasoning, or all of the above

🧵 What if two images have the same local parts but represent different global shapes purely through part arrangement? Humans can spot the difference instantly! The question is can vision models do the same? 1/15

Come up north!

It was a steep climb in the "early days" (~2012) up the gradient of better ImageNet categorization towards better visual system models. That tapped out around 2015 after ResNet as (frankly) progress in computer vision kind of stalled.... But now with video models starting to

What makes visual processing in the brain so powerful and flexible? Very excited to share our new work where we started from SOTA models that accurately predict dynamic brain activity during hours of video watching, and investigated core computations underlying visual perception