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Congratulations, Dr. Ben Ruben!
Congratulations to Dr. Ben Ruben on successfully defending his thesis in Biophysics!
A toy model to understand how AI learns
See the nice news coverage on our recent work on scaling and renormalization in high dimensional regression. https://www.eurekalert.org/news-releases/1126541 Original paper is here: https://pehlevan.seas.harvard.edu/publications/scaling-and...
ICLR 2026 Presentations from our group
Check our group's work paper at ICLR! 1 . Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time Blake Bordelon ⋅ Mary Letey ⋅ Cengiz Pehlevan 2. Discovering alternative solutions beyond the simplicity bias in recurrent neural...
NeurIPS 2025 presentations from our group members
Check the NeurIPS 2025 Presentations from our group! Main Meeting 1. Don't be lazy: CompleteP enables compute-efficient deep transformers Nolan Dey · Bin Zhang · Lorenzo Noci · Mufan Li · Blake Bordelon · Shane Bergsma · Cengiz Pehlevan · Boris Hanin ·...
Ganesh is named a Young NUS Fellow
Congratulations Ganesh for receiving the NUS Development Grant! His research on learning in biological and artificial systems was recommended by the Department of Physiology, Yong Loo Lin School of Medicine, NUS. https://www.nus.edu.sg/careers/nus...
Simons Collaboration on the Physics of Learning and Neural Computation
We are a part of a new Simons Collaboration on Physics of Learning and Neural Computation. This collaboration aims to elucidate fundamental scientific principles of learning and neural computation underlying modern artificial intelligence. To achieve...
Aspen Center For Physics Winter Conference: Theoretical Physics for Artificial Intelligence
Cengiz is co-organizing a conference “Theoretical Physics for Artificial Intelligence", to be held at the Aspen Center for Physics 11-16 January 2026. Applications are now open. The application deadline is September 15. This conference will bring together...
