Featured news

Schmidt Sciences Polymath Program Awards $2.5M Grants to Six Pioneering Researchers [...
September 19, 2024
The Schmidt Sciences Polymath Program funds high-risk, innovative projects by providing multi-year grants to top researchers in critical areas from AI to climate change. NEW YORK—Six groundbreaking...
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Seminars + events

outline of human head with brain overlaid in a green circle
Panel Discussion: Open Questions in Theory of Learning
November 12, 2024 - 4:00 pm
Singleton Auditorium (46-3002)
Moderator: Tomaso Poggio Panel: Ila Fiete, Philip Isola, Era...
Abstract: In a society that is confronting the new age of AI in which LLMs begin to display...
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CBMM spotlight

Tomer and Eliza: Magic
Tomer Ullman and Eliza Kosoy: Magic
Associated Research Thrust(s):
Development of Intelligence
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Highlighted publications

CBMM Memo No:
151
A. Pinto, Rangamani, A., and Poggio, T., “On Generalization Bounds for Neural Networks with Low Rank Layers”. 2024.
CBMM Memo No:
150
L. Ziyin, Chuang, I., Galanti, T., and Poggio, T., “Formation of Representations in Neural Networks”. 2024.
CBMM Memo No:
149
Y. Gan, Galanti, T., Poggio, T., and Malach, E., “On the Power of Decision Trees in Auto-Regressive Language Modeling”. 2024.
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Featured video

Embedded thumbnail for Identifying Subgroups in Biomedical Datasets using Data Attribution
Identifying Subgroups in Biomedical Datasets using Data Attribution
Understanding how training data influences model predictions ("data attribution") is an active area of machine learning research. In this tutorial, we will introduce a data attribution method (...
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