Our illustrated guide to non-Euclidian ML is finally published! Check it out for ⭐️ gorgeous figures (with new additions!) on topology, algebra, and geometry in the field ⭐️ broken down tables for easy reading ⭐️ accessible text, additional refs, and more iopscience.iop.org/article/10.1...

Visiting Wisconsin-Madison this week to attend #SIAMAG25. Would love to connect with fellow researchers, say hi if you are around!

Wow! What a great perspective! Congrats @ninamiolane.bsky.social !

Two papers out today on RL in the dopaminergic neurons of the midbrain of mice (one from McGill's new PI @paulmasset.bsky.social). Both papers demonstrate heterogeneity in discount factors! www.nature.com/articles/s41... nature.com/articles/s41... 🧠📈 🧪 #NeuroAI

🚨Higher-order combinatorial models in TDL are notoriously slow and resource-hungry. Can we do better? Introducing: 🚀 𝐇𝐎𝐏𝐒𝐄: A Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations 🚀 📝 arXiv: arxiv.org/abs/2505.15405 🧵 (1/6)

Announcement of a new scholarship program for Turkish students seeking internships in the US! BTF is now officially accepting funding applications: bridgetoturkiye.org/our-work/schol… The program requires you to apply with a mentor, who can be a PhD or a postdoc in a US institution.

How does AI memorize information? How does ChatGPT remember your name? How do RNNs keep track of simple numbers? Our new paper led by Bariscan Kurtkaya & Fatih Dinc explores the geometry of short-term memory in neural networks—revealing limits in how information is stored!🧵 arxiv.org/abs/2502.17433

My PhD work is now out! Here, we set out to formalize the neural manifold hypothesis and explain several experimental phenomena in systems neuroscience with a single theoretical framework. I highly recommend giving it a read, though tweetprint come much later!