Videos

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Marcin Lis - Embeddings & Statistical Mechanics (Part 1) - IPAM at UCLA Thumbnail

Marcin Lis - Embeddings & Statistical Mechanics (Part 1) - IPAM at UCLA

Presenter
  • Marcin Lis
March 14, 2024
IPAM
Marianna Russkikh - Embeddings & Statistical Mechanics (Part 2) - IPAM at UCLA Thumbnail

Marianna Russkikh - Embeddings & Statistical Mechanics (Part 2) - IPAM at UCLA

Presenter
  • Marianna Russkikh
March 14, 2024
IPAM

Structured variability and its roles in neural computation: the hippocampus perspective

Presenter
  • Cristina Savin
October 30, 2023
ICERM
On Wave Equations and Brownian Motion Thumbnail

On Wave Equations and Brownian Motion

Presenter
  • Bjoern Bringmann
October 4, 2023
IAS
p-adic Local Systems and their Sen Operators Thumbnail

p-adic Local Systems and their Sen Operators

Presenter
  • Tongmu He
October 3, 2023
IAS
Things that Used to be Strange Are Familiar Now: Reflections on the Inevitable Evolution of Pedagogy & Scholarship Thumbnail

Things that Used to be Strange Are Familiar Now: Reflections on the Inevitable Evolution of Pedagogy & Scholarship

Presenter
  • Omayra Ortega
November 20, 2021
SLMath
The Effectiveness of Nonconvex Tensor Completion: Fast Convergence and Uncertainty Quantification Thumbnail

The Effectiveness of Nonconvex Tensor Completion: Fast Convergence and Uncertainty Quantification

Presenter
  • Yuxin Chen
May 19, 2021
IPAM
Understanding machine learning via exactly solvable statistical physics models Thumbnail

Understanding machine learning via exactly solvable statistical physics models

Presenter
  • Lenka Zdeborova
November 18, 2019
IPAM
Measuring and exploiting data-model fit with sheaves Thumbnail

Measuring and exploiting data-model fit with sheaves

Presenter
  • Michael Robinson
May 24, 2018
IMA
Invariance and disentanglement in deep representations Thumbnail

Invariance and disentanglement in deep representations

Presenter
  • Stefano Soatto
February 8, 2018
IPAM
New strategies for reduced-order models for predicting the statistical responses and uncertainty quantification in complex turbulent dynamical systems Thumbnail

New strategies for reduced-order models for predicting the statistical responses and uncertainty quantification in complex turbulent dynamical systems

Presenter
  • Andrew Majda
January 11, 2017
IPAM
Entropic and Displacement Interpolation of Densities: A Computational Approach Based on the Hilbert Metric Thumbnail

Entropic and Displacement Interpolation of Densities: A Computational Approach Based on the Hilbert Metric

Presenter
  • Tryphon Georgiou
January 29, 2016
IMA