Videos

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Learning on Manifolds Thumbnail

Learning on Manifolds

Presenter
  • Fatih Porikli
April 8, 2011
IMA

Can black holes evaporate past extremality?

Presenter
  • Samuel Gralla
January 6, 2026
ICERM

Universality for roots of derivatives of entire functions

Presenter
  • David Renfrew
August 7, 2025
ICERM

Law of large numbers for the discriminant of random polynomials

Presenter
  • Marcus Michelen
August 5, 2025
ICERM
A unified look at contingency tables optimal transport and Schrödinger bridge Thumbnail

A unified look at contingency tables optimal transport and Schrödinger bridge

Presenter
  • Hanbaek Lyu
July 21, 2025
IMSI
A Statistically Provable Approach to Integrating LLMs into Topic Modeling Thumbnail

A Statistically Provable Approach to Integrating LLMs into Topic Modeling

Presenter
  • Tracy Ke
May 6, 2025
IMSI
Language Generation in the Limit Thumbnail

Language Generation in the Limit

Presenter
  • Jon Kleinberg
April 21, 2025
IAS
Simone Rademacher - Large deviations for Bose-Einstein condensates - IPAM at UCLA Thumbnail

Simone Rademacher - Large deviations for Bose-Einstein condensates - IPAM at UCLA

Presenter
  • Simone Rademacher
April 3, 2025
IPAM
Monitoring and guiding large crowds: vehicular traffic and pedestrians Thumbnail

Monitoring and guiding large crowds: vehicular traffic and pedestrians

Presenter
  • Benedetto Piccoli
March 20, 2025
IMSI
Ella Hiesmayr - Spectral large deviations of sparse random matrices - IPAM at UCLA Thumbnail

Ella Hiesmayr - Spectral large deviations of sparse random matrices - IPAM at UCLA

Presenter
  • Ella Hiesmayr
February 27, 2025
IPAM

Lipschitz graphs covering large subsets of fractals

Presenter
  • Bobby Wilson
November 15, 2024
ICERM
Mehrnoosh Sadrzadeh - How can large language models learn from humans? - IPAM at UCLA Thumbnail

Mehrnoosh Sadrzadeh - How can large language models learn from humans? - IPAM at UCLA

Presenter
  • Mehrnoosh Sadrzadeh
November 5, 2024
IPAM