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Publishes 2 feeds

• MITCBMM

  15 posts · theirs

• MIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015

  15 posts · theirs

Lately

• Intelligence as Prediction: Cybernetics, LLMs, and Sociality

  MITCBMM · 2026-04-01

• Vision beyond ImageNet: Understanding the brain mechanisms underlying visual recognition

  MITCBMM · 2025-08-19

• fMRI Scanning at MIT - For Kids

  MITCBMM · 2025-04-14

• A Theory of Appropriateness with Applications to Generative Artificial Intelligence

  MITCBMM · 2025-03-31

• Aligning deep networks with human vision will require novel neural architectures, data diets and ...

  MITCBMM · 2025-02-24

• The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function

  MITCBMM · 2025-01-29

• The success of CBMM and the people who made it possible

  MITCBMM · 2025-01-10

• Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the...

  MITCBMM · 2024-12-11

• Panel Discussion: Open Questions in Theory of Learning

  MITCBMM · 2024-11-19

• Normalization models of attention

  MITCBMM · 2024-11-19

• Identifying Subgroups in Biomedical Datasets using Data Attribution

  MITCBMM · 2024-10-28

• Learning to Reason, Insights from Language Modeling

  MITCBMM · 2024-10-21

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