Andrew Saxe @SaxeLab
Prof at @GatsbyUCL and @SWC_Neuro, trying to figure out how we learn. Bluesky: @SaxeLab Mastodon: @[email protected] saxelab.org London, UK Joined November 2019-
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Model collapse is often framed as “models getting worse” In our ICML Spotlight Position paper, we show a high risk of unequal degradation. Rare languages, minority viewpoints, and low-resource communities are likely to be affected first and most severely arxiv.org/abs/2605.04127
I'm excited to share our position paper that has been accepted at ICML as a Spotlight paper. In this work we (@kleinric, @BenjaminRosman, Steven James and @stefsmlab) make a call to action for more focus on model collapse in the AI Fairness community arxiv.org/pdf/2605.04127
I’m excited to share that our paper “Compositionality and systematicity emerge from iterated learning in deep linear networks” has been published at PNAS. This work was conducted with @kleinric @BenjaminRosman and @SaxeLab. Some highlights below. pnas.org/doi/full/10.10…
New research from the University of the Witwatersrand, South Africa, is shedding light on how language evolves, in both humans and artificial intelligence models. The study explores the role of culture and “iterated learning”, showing how language becomes more structured over
1/ Deep learning is going to have a scientific theory. We can see the pieces starting to come together, and it's looking a lot like physics! We're releasing a paper pulling together these emerging threads and giving them a name: learning mechanics. 🔨 arxiv.org/pdf/2604.21691 🔧
Come chat about this @iclr_conf, at 3:15 PM on Friday in Pavilion 4 Poster #4216!
Why don’t neural networks learn all at once, but instead progress from simple to complex solutions? And what does “simple” even mean across different neural network architectures? Sharing our new paper @iclr_conf led by Yedi Zhang with Peter Latham arxiv.org/abs/2512.20607
Two Analytical Connectionism-related updates: 1. ⏰ 1 week left to apply! Interested in language + AI & cognition? Don’t miss it: analytical-connectionism.net/school/2026/ 2. 📜 Lecture notes from the first two editions are finally out: proceedings.mlr.press/v320/
📢 We’re now accepting applications for the 2026 School on Analytical Connectionism dedicated this year to Language Acquisition. 📍 Gothenburg, Sweden 🗓️ August 17–28, 2026 ☠️ Apply by April 17! 🔗 analytical-connectionism.net/school/2026/ 👇 Meet the experts joining us this summer!
Postdoc opening! Come work with us on deep learning theory relevant to AI safety Deadline: 7 Apr 2026 Details and application: ucl.ac.uk/work-at-ucl/se…+
Very excited by this year's Analytical Connectionism Summer School! A dream lineup of speakers on the topic of language acquisition in minds and machines Bursaries available to cover costs Aug 17 – Aug 28, 2026 Gothenburg Details: analytical-connectionism.net//school/2026/
Looking for alternatives to quadratic functions for closed-form analysis in optimization? This post explores matrix Riccati dynamics and their applications to neural networks. francisbach.com/closed-form-dy…
What is the relationship between memorization and generalization in AI? Is there a fundamental tradeoff? In a new blog post I’ve reviewed some of the evolving perspectives on memorization & generalization in machine learning, from classic perspectives through LLMs. Link below:
📢 We’re now accepting applications for the 2026 School on Analytical Connectionism dedicated this year to Language Acquisition. 📍 Gothenburg, Sweden 🗓️ August 17–28, 2026 ☠️ Apply by April 17! 🔗 analytical-connectionism.net/school/2026/ 👇 Meet the experts joining us this summer!
Hiring 2 Postdocs to work on Theoretical Foundations of AI Safety @chalmersuniv If you have a background in Physics, Math, or ML and want to tackle AI alignment at a fundamental level alongside UCL, apply below! 🔗Apply: chalmers.se/en/about-chalm… 🔬Lab: stefsmlab.github.io
How to apply: USD 80,000–100,000 (50-74k GBP) annualized 6 months, w/ extension based on funding Details: docs.google.com/document/d/1Vj… Application: forms.gle/xKukH74iX16pPG… 4
We’re hiring postdocs/research scientists! Your interests can be anywhere on the spectrum from pure theory to empirically testing predictions relevant to AI safety. Our theoretical work relies on dynamical systems and tools from statistical physics. 3
Excited to launch Principia, a nonprofit research organisation at the intersection of deep learning theory and AI safety. Our goal is to develop theory for modern machine learning that can help us understand network behaviors, including those critical for AI safety. 1
Upcoming online talk next Monday 9th February, at the ELLIS Reading Group on Mathematics & Efficiency of Deep Learning! Open to all. Info at sites.google.com/view/efficient…
Equipped with this theory, we make new predictions about how network width, data distribution, and initialization affect learning dynamics. For example, increasing the number of attention heads in linear attention shortens the plateaus in learning.
Why don’t neural networks learn all at once, but instead progress from simple to complex solutions? And what does “simple” even mean across different neural network architectures? Sharing our new paper @iclr_conf led by Yedi Zhang with Peter Latham arxiv.org/abs/2512.20607
Kording Lab 🦖 @KordingLab
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Gal Vishne @neurogal.... @neuro_gal
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Kording Lab 🦖 @KordingLab
65K Followers 3K Following Konrad kording, @Penn Prof, deep learning, brains, #causality, rigor, https://t.co/tTJW05RRfa, https://t.co/qf7ZHxjaK1, Transdisciplinary optimist, Dad, Loves outdoors, 🦖
Patrick Mineault @patrickmineault
23K Followers 3K Following NeuroAI researcher @ Amaranth Foundation, safety, open science. Previously engineer @ Google, Meta, Mila.
Shahab Bakhtiari @ShahabBakht
5K Followers 1K Following || assistant prof @UMontreal || leading the systems neuroscience and AI lab (SNAIL) || @Mila_Quebec || #NeuroAI || vision and learning in brains and machines
Tim Kietzmann @TimKietzmann
12K Followers 2K Following ML meets Neuroscience #NeuroAI, Full Professor at the Institute of Cognitive Science (@UniOsnabrueck), prev. @DondersInst, @Cambridge_Uni #neuroconnectionism
Ida Momennejad @criticalneuro
16K Followers 2K Following Principal Researcher @MSFTResearch. I study memory & planning in brains. I build & evaluate AI inspired by the brain.
Blake Richards @tyrell_turing
16K Followers 2K Following Researcher at @mcgillu combining AI and neuroscience. Also on Bluesky (@tyrellturing.bsky.social) and Mastodon: @[email protected].
Dr. Anna Schapiro @AnnaSchapiro
10K Followers 729 Following Assistant Prof at U Penn. Learning, memory, sleep, neural network modeling, open science. https://t.co/4dODyQuOd0
Kanaka Rajan @KanakaRajanPhD
14K Followers 2K Following Associate Professor at Harvard & Kempner Institute. Applying computational frameworks & ML to decode multi-scale neural processes. Marathoner. Rescue dog mom.
Earl K. Miller @MillerLabMIT
46K Followers 2K Following Picower Professor of Neuroscience at MIT https://t.co/UoEeD2FzEY Co-founder, Neuroblox https://t.co/o6wosMSGen
Dan Goodman @neuralreckoning
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David Sussillo @SussilloDavid
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Rui Ponte Costa @somnirons
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Dileep George @dileeplearning
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Scientific Methods fo... @scifordl
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Sepiedeh Keshavarzi (... @SepiKeshavarzi
934 Followers 457 Following Assistant Professor and Neuroscientist at @PDN_Cambridge
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