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 · 4d ago

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 · 4w 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 · 3mo 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