📢 Apply for the #PhD 🎓 in Molecular and Statistical Biophysics at SISSA in lovely Trieste! 4 fully funded fellowships starting Oct 2025. ~8 months of classes, then choose your project. Remote entrance exam. Deadline: 28.4.2025. Please RT! 👉 msb.sissa.it/join-us

Less than 10 days to apply to the last edition of the Analytical Connectionism summer school! Deadline: April 18th 🚨 Apply here analytical-connectionism.net/school/2025/ Where? London, UK. When? Aug 25-Sep 5.

👂🦇 Our first bat paper is out! 🦇👂 How do bats tell navigation from social calls? Led by fearless Dr. Jenni Lawlor, 2P imaging shows that the auditory midbrain encodes categorical primitives. Nature Neuroscience: rdcu.be/ehEgz Cool morphing expts+more in final version 🧵👇

Check out cool new work from our group in collaboration with Pfizer and AstraZeneca, lead by Julian Cremer and Ross Irwin on FLOWR, a flow-based ligand generation approach, and highly sanitized benchmark dataset, SPINDR, for the SBDD community!

Amazing news! Congrats everyone and especially Devon Jarvis!

Our paper, “Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks” will be presented at ICLR 2025 this week (openreview.net/forum?id=27SSn…)! We derive closed-form dynamics for some, remarkably linear, feature learning ReLU networks (1/9)

I am at #ICLR2025 and looking for a Student Researcher for this summer. If you are at ICLR and is considering an internship reach out to me.

🚨 Join us at the Workshop on Spurious Correlation & Shortcut Learning (SCSL) at #ICLR2025! ICLR 2026 🗓️ April 28, 2025 📍 Garnet 214-215, Singapore EXPO 🌐 More info: scslworkshop.github.io #ICLR2025

I can definitely confirm—my time at PCS was fantastic. I really enjoyed the experience, and several of my current colleagues and collaborators were fellow students in the program.

AISI has published its research agenda... aisi.gov.uk/research-agenda There is so much amazing work going on at AISI. Expect much more in the way of published outputs over the coming months!

Really happy to see this paper out, led by Nishil Patel in collaboration with Stefano Sarao Mannelli and Andrew Saxe: we apply the statistical physics toolbox to analyse a simple model of reinforcement learning, and find some cool effects, like a speed-accuracy trade-off for generalisation 🚀

We are looking for someone to join the group as a postdoc to help us with scaling implicit transfer operators. If you are interested in this, please reach out to me through email. Include CV, with publications and brief motivational statement. RTs appreciated!

Great news! This work has also been accepted into RLC for the Journal to Conference Track. Congrats Geraud Nangue Tasse and teams for the great result 🦾

📣 We are hiring! Want to move to beautiful Stockholm 🇸🇪 and work on cutting-edge ML research? Join our group and help push the frontiers of machine learning! academicjobsonline.org/ajo/jobs/30017 📍 Apply now / spread the word! #ML #AI #Postdoc #Nordita #KTH #Stockholm