Reading Group

We run a reading group in the lab. Each round has a theme chosen by group vote, and for a few weeks we read papers, textbook chapters, and other useful background around that theme.

Some sessions have invited speakers; others are internal discussions around a paper we read together.

We list sessions here as an archive of what we have read and a snapshot of what we are currently thinking about.

Current Theme

Science of Deep Learning

Sessions

Date Theme Reading / session Authors Format
June 23, 2026 Science of Deep Learning There Will Be a Scientific Theory of Deep Learning Jamie Simon et al. Discussion led by Itamar Pres
June 18, 2026 Memory, Energy, and Test-Time Adaptation Dense Associative Memory for Pattern Recognition Dmitry Krotov and John J Hopfield Speaker: Dmitry Krotov
June 4, 2026 Memory, Energy, and Test-Time Adaptation How to Train Your Energy-Based Models Yang Song and Diederik P. Kingma Group discussion
May 21, 2026 Memory, Energy, and Test-Time Adaptation A Tutorial on Energy-Based Learning Yann LeCun, Sumit Chopra, Raia Hadsell, et al. Discussion led by Belinda Z. Li
May 14, 2026 Memory, Energy, and Test-Time Adaptation Neural Networks and Physical Systems with Emergent Collective Computational Abilities J. J. Hopfield Discussion led by Atticus Wang
Apr. 16, 2026 Intermezzo What do language models learn when they learn language? James A. Michaelov, Roger P. Levy, Benjamin K. Bergen Speaker: James A. Michaelov
Apr. 9, 2026 Meta-cognition Metacognition and Confidence: A Review and Synthesis Stephen M. Fleming Group discussion
Apr. 2, 2026 Meta-cognition Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations Li Ji-An, Hua-Dong Xiong, Robert C. Wilson, et al. Group discussion
Mar. 26, 2026 Meta-cognition Dissociating Direct Access from Inference in AI Introspection Harvey Lederman, Kyle Mahowald Group discussion
Mar. 19, 2026 Meta-cognition Telling More Than We Can Know: Verbal Reports on Mental Processes Richard E. Nisbett, Timothy D. Wilson Group discussion
Mar. 12, 2026 New Architectures and Paradigm Shifts Looped Transformers for Length Generalization Ying Fan, Yilun Du, Kannan Ramchandran, et al. Speaker: Ying Fan
Mar. 5, 2026 New Architectures and Paradigm Shifts Dynamic Chunking for End-to-End Hierarchical Sequence Modeling Sukjun Hwang, Brandon Wang, Albert Gu Speaker: Sukjun Hwang
Feb. 26, 2026 New Architectures and Paradigm Shifts mHC: Manifold-Constrained Hyper-Connections Zhenda Xie, Yixuan Wei, Huanqi Cao, et al. Group discussion
Feb. 19, 2026 New Architectures and Paradigm Shifts Recursive Language Models Alex L. Zhang, Tim Kraska, Omar Khattab Speaker: Alex L. Zhang