Videos

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When and How are (promise) Constraint Satisfaction Problems Efficiently Solvable? Thumbnail

When and How are (promise) Constraint Satisfaction Problems Efficiently Solvable?

Presenter
  • Venkatesan Guruswami
October 21, 2024
IAS
Tropical Vector Bundles and Matroids Thumbnail

Tropical Vector Bundles and Matroids

Presenter
  • Kiumars Kaveh
October 21, 2024
IAS
Adityanarayanan Radhakrishnan - How do neural networks learn features from data? - IPAM at UCLA Thumbnail

Adityanarayanan Radhakrishnan - How do neural networks learn features from data? - IPAM at UCLA

Presenter
  • Adityanarayanan Radhakrishnan
October 18, 2024
IPAM
Leena Vankadara - Scaling Insights from Infinite-Width Theory for Next Gen Architecture & Learning Thumbnail

Leena Vankadara - Scaling Insights from Infinite-Width Theory for Next Gen Architecture & Learning

Presenter
  • Leena Vankadara
October 18, 2024
IPAM
Misha Belkin - Emergence and grokking in "simple" architectures - IPAM at UCLA Thumbnail

Misha Belkin - Emergence and grokking in "simple" architectures - IPAM at UCLA

Presenter
  • Misha Belkin
October 18, 2024
IPAM
Equivariant Symplectic Homology Thumbnail

Equivariant Symplectic Homology

Presenter
  • Jean Gutt
October 18, 2024
IAS
Dmitry Krotov - Generative AI models through the lens of Dense Associative Memory - IPAM at UCLA Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

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 Thumbnail

Mauro Maggioni - On exploiting compositional structure: one bit of theory and one application

Presenter
  • Mauro Maggioni
October 17, 2024
IPAM
First Explicit Reciprocity Law for Unitary Friedberg—Jacquet Periods Thumbnail

First Explicit Reciprocity Law for Unitary Friedberg—Jacquet Periods

Presenter
  • Murilo Zanarella
October 17, 2024
IAS