Videos

Start date cannot be after end date.
Shape Analysis and Learning by Geometry and Machine (Overview - Part 1) Thumbnail

Shape Analysis and Learning by Geometry and Machine (Overview - Part 1)

Presenter
  • Hong-Kai Zhao
February 8, 2016
IPAM
Introductory Workshop: Algorithms, Fairness, and Equity: "Epistemic Uncertainty, the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Epistemic Uncertainty, the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI"

Presenter
  • Donald Martin
August 30, 2023
SLMath

Reduced label complexity for tight linear regression

Presenter
  • Alex Gittens
June 29, 2023
ICERM
Carlos Oscar Sorzano - Machine learning for Single Particle Analysis by Cryo-Electron Microscopy Thumbnail

Carlos Oscar Sorzano - Machine learning for Single Particle Analysis by Cryo-Electron Microscopy

Presenter
  • Carlos Sorzano
November 14, 2022
IPAM
Peter Binev - Learning Theory and Computational Microscopy Thumbnail

Peter Binev - Learning Theory and Computational Microscopy

Presenter
  • Peter Binev
September 14, 2022
IPAM
Geometric manifold learning methods and collective variables Thumbnail

Geometric manifold learning methods and collective variables

Presenter
  • Marina Meila
December 5, 2016
IPAM
Is optimization computationally equivalent to online learning? Thumbnail

Is optimization computationally equivalent to online learning?

Presenter
  • Elad Hazan
October 5, 2015
IAS

New Algorithms for Learning Incoherent and Overcomplete Dictionaries

Presenter
  • Rong Ge
May 7, 2014
ICERM

The Denario project: Deep knowledge AI agents for scientific discovery

Presenter
  • Francisco Villaescusa-Navarro
May 9, 2026
ICERM

Luis Oliveira e Silva - Ab initio PIC simulations and data-driven techniques for multi-fidelity or reduced plasma models

April 17, 2026
IPAM
Zecheng Zhang - Deep Operator Learning Approximation and Distributed Applications - IPAM at UCLA Thumbnail

Zecheng Zhang - Deep Operator Learning Approximation and Distributed Applications - IPAM at UCLA

Presenter
  • Zecheng Zhang
July 16, 2025
IPAM
Jarrod McClean - Dequantization and quantum advantage in learning from experiments Thumbnail

Jarrod McClean - Dequantization and quantum advantage in learning from experiments

Presenter
  • Jarrod McClean
January 25, 2022
IPAM