📢 New preprint 🚨where we leverage the synthetic description offered by StatPhys to apply control theory to NNs trained in continual learning tasks! A🧵will follow in the next days! I'm very excited by the possibilities that this approach can offer in the future! 🌅✨

Gabi is presenting our (mostly his) incredible work on serotonin modelling with gated NNs at #SfN24. Our model replicates existing findings and predicts outcomes in associative tasks, as well as reversal learning tasks under psychedelics—readily validated by Gabi in mice! 🐭🧠

Seeking: Research scientists in computer vision to contribute to a multi-modal foundation model of the brain's visual system at the enigmaproject.ai Apply below 👇 careersearch.stanford.edu/jobs/computer-…

If you missed it at the #NeurIPS2024 posters! Work led by @LeonLufkin on analytical dynamics of localization in simple neural nets, as seen in real+artificial nets and distilled by Alessandro Ingrosso Sebastian Goldt Leon is a fantastic collaborator, and is looking for PhD positions!

How does this not cite skip-thoughts? arxiv.org/abs/1506.06726

📢 Apply now for the 7-week #Mathematics #SummerSchool in London! You will develop mathematics skills and intuition necessary to enter the #TheoreticalNeuroscience or #MachineLearning field. ℹ️ ucl.ac.uk/gatsby/study-a… Please help spread the word!

🚨Call for Papers🚨 The Re-Align Workshop is coming back to #ICLR2025 Our CfP is finally up! Come share your representational alignment work at our interdisciplinary workshop at ICLR 2026 representational-alignment.github.io

Our representational alignment workshop returns to #ICLR2025! Please submit your work on how ML / cogsci / neuro systems represent the world & what shapes these representations 💭🧠🤖 w/ Brian Cheung @dotadong Ilia Sucholutsky Lukas Muttenthaler Siddharth Suresh @ ICLR 🇸🇬

Last year, we funded 250 authors and other contributors to attend #ICLR2024 in Vienna as part of this program. If you or your organization want to directly support contributors this year, please get in touch! Hope to see you in Singapore at #ICLR2025!

Excited and honored to be teaching at this year’s School on Analytical Connectionism Gatsby Computational Neuroscience Unit along an amazing group of lecturers.

Last day to apply to get involved in WiML! 💙

2025 @Blavatnikawards UK 🇬🇧 Finalist Andrew Saxe from UCL was featured on the BBC Science Focus Instant Genius Podcast on how AI is helping us understand how our brains🧠 learn: open.spotify.com/episode/6pcv55… and podcasts.apple.com/gb/podcast/how… Andrew Saxe @UCL

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!

🤔 Interested in models of social interaction and computational psychiatry? 🤗 If so, Shawn Rhoads and I are seeking a highly motivated and talented postdoc to work on these topics! Please share widely! apply.interfolio.com/165809

📢📢Junior researchers attending #ICLR2025, be sure to check out the mentoring chat sessions! More info here: blog.iclr.cc/2025/04/23/icl… You can find all the sessions on the ICLR.cc schedule!

Join us for the WiML Social at #ICLR2025 in ~2.5 hours! Vasiliki (Vasiliki Tassopoulou) and Melis (Melis İlayda Bal) have organized a fun event with: icebreaker game w/ a prize, topic roundtables, and a fantastic panel of women in AI/ML who have joint academic+industry experience 💙

Starting very soon in Conference GHJ (the mysterious room between Halls 2&3)!

📢 We have an opportunity for students to join our PhD programme in Theoretical Neuroscience and Machine Learning this September. Application deadline is 27 May 2025. Information & how to apply 👉 ucl.ac.uk/gatsby/study-a…

Our paper "Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena" has been accepted as a position paper to ICML 2025! arxiv.org/abs/2502.21009 These models offer a tractable path to understanding complex neural dynamics—before diving into full nonlinearity.

proud to share a survey of state representation learning in RL that my student ayoub echchahed and i prepared, that was just published on Accepted papers at TMLR ! this was the bulk of ayoub's masters thesis and he put a lot of work and care into it! a few details in thread below... 1/