📣 Call for Papers: UniReps Workshop in Paris! We invite work exploring why, when, and how distinct learning processes yield similar representations across AI, neuroscience & cognitive science. 📅 Deadline: Oct 4 (AoE) unireps.org/2026/call-fo...

Call For Papers | UniReps Workshop

Unifying Representations in Neural Models

unireps.org

🚀 UniReps 4th Edition is coming! 🌍✨ We’re aiming to host a UniReps satellite event around NeurIPS 2026 in Paris! Join us to connect, collaborate, and shape the future of representation learning. Your voice matters! Let us know which dates work best for you. docs.google.com/forms/d/e/1F...

Call for Partecipation - UniReps 4th Edition

We’re excited to announce that we’re organizing the 4th edition of UniReps as a satellite event in Paris and would love your help in choosing the best date for the community. Your feedback will ensure...

docs.google.com

Really excited about this project! If you want to chat about repulsion and representational changes in hippocampus, come by our poster at #CCN2026 tomorrow at 9:30!

Anna Schapiro@annaschapiro.bsky.social · last mo.

Here's where to find the Penn Computational Cognitive Neuroscience Lab at Cognitive Computational Neuroscience next week! See you in NYC!

Here's where to find the Penn Computational Cognitive Neuroscience Lab at Cognitive Computational Neuroscience next week! See you in NYC!

Excited to present this paper that was led by Luke today at the CompLearn workshop (2nd poster session, starting at 4). If you want to chat about how simple learning systems can learn relational rules but also memorize exceptions to those rules, come by!

Luke Cheng@lukecheng.bsky.social · 2mo ago

🧵 New preprint! "A mathematical theory of balancing relational generalization and memorization" w/ @sflippl.bsky.social Real-world learning requires both learning rules AND memorizing exceptions. We introduce a task + theory for understanding how learning systems do both. arxiv.org/abs/2605.22972

Excited to be presenting this paper tomorrow! If you want to hear more about this, please come to the poster session tomorrow at 2:30pm @icmlconf.bsky.social.

Ida Momennejad@neuroai.bsky.social · 4mo ago

Somewhat late but thrilled to share that our paper on Algorithmic Primitives & Compositional Geometry of Reasoning in Language Models was accepted to ICML 2026. Huge thanks to incredible coauthors, esp @sflippl.bsky.social @eberleoliver.bsky.social @thomasmcgee.bsky.social. Camera ready coming soon.

Pretraining + fine-tuning powers modern ML, but we lack a theoretical understanding of how pretraining actually shapes downstream learning. In our new @icmlconf.bsky.social paper, we address this gap! 📅 July 9th, Poster #4502 Session 8! 🧵 arxiv.org/pdf/2602.20062