Very happy to share this work in NeurIPS 2023 with Nikhil Vyas, Blake Bordelon ☕️🧪👨‍💻, Sab Sainathan, @DepenKenpachi, and Cengiz Pehlevan on the consistent behavior of feature-learning networks across large widths arxiv.org/abs/2305.18411. What is large width consistency? Read on! 1/n

[1/n] Thrilled that this project with @jzavatoneveth and @cpehlevan is finally out! Our group has spent a lot of time studying high dimensional regression and its connections to scaling laws. All our results follow easily from a single central theorem 🧵 arxiv.org/abs/2405.00592

Nadaraya-Watson kernel smoothing as a random energy model ift.tt/5O4KdQY

Excited to share my #NeurIPS2024 paper with @jzavatoneveth, Benjamin S Ruben, and Cengiz Pehlevan on mechanistic mismatches in data-constrained models of neural dynamics! (1/n)