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Sanjoy Dasgupta - Neural machines: From fruit flies to embedded devices - IPAM at UCLA
Presenter
- Sanjoy Dasgupta
November 4, 2024
IPAM
Leena Vankadara - Scaling Insights from Infinite-Width Theory for Next Gen Architecture & Learning
Presenter
- Leena Vankadara
October 18, 2024
IPAM
Dmitry Krotov - Generative AI models through the lens of Dense Associative Memory - IPAM at UCLA
Presenter
- Dmitry Krotov
October 17, 2024
IPAM
Fanny Yang - Surprising phenomena of max-lp-margin classifiers in high dimensions - IPAM at UCLA
Presenter
- Fanny Yang
October 17, 2024
IPAM
Oliver Eberle - Interpretability for Deep Learning: Theory, Applications and Scientific Insights
Presenter
- Oliver Eberle
October 17, 2024
IPAM
Mayank Mehta - Dynamics of brain's deep network - IPAM at UCLA
Presenter
- Mayank Mehta
October 17, 2024
IPAM
Mauro Maggioni - On exploiting compositional structure: one bit of theory and one application
Presenter
- Mauro Maggioni
October 17, 2024
IPAM
Shaowei Lin - Singular Learning, Relative Information and the Dual Numbers - IPAM at UCLA
Presenter
- Shaowei Lin
October 16, 2024
IPAM
Gintare Karolina Dziugaite - The dynamics of memorization and generalization in deep learning
Presenter
- Gintare Karolina Dziugaite
October 15, 2024
IPAM
Vidya Muthukumar - Comparison and transfer between tasks in overparameterized learning
Presenter
- Vidya Muthukumar
October 15, 2024
IPAM
Boris Hanin - Neural Network Scaling Limits - IPAM at UCLA
Presenter
- Boris Hanin
October 14, 2024
IPAM
Elvis Dohmatob - The Mathematics of Scaling Laws and Model Collapse in AI - IPAM at UCLA
Presenter
- Elvis Dohmatob
October 14, 2024
IPAM