Videos

Start date cannot be after end date.

The Denario project: Deep knowledge AI agents for scientific discovery

Presenter
  • Francisco Villaescusa-Navarro
May 9, 2026
ICERM

Computationally efficient uncertainty quantification for sparse Bayesian learning

Presenter
  • Jan Glaubitz
May 8, 2025
ICERM

Leonardo Zepeda-Núñez - Learning Turbulent and Chaotic Dynamics via Data-Driven Probabilistic Models

April 16, 2026
IPAM
Carlos Bravo Prieto - Understanding quantum machine learning also requires rethinking generalization Thumbnail

Carlos Bravo Prieto - Understanding quantum machine learning also requires rethinking generalization

Presenter
  • Carlos Prieto
October 19, 2023
IPAM
Deep Learning: Triangle Machine Learning Day - Data-driven Decision Making in Healthcare Operations, Nilay Tanik Argon Thumbnail

Deep Learning: Triangle Machine Learning Day - Data-driven Decision Making in Healthcare Operations, Nilay Tanik Argon

September 20, 2019
SAMSI
Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA Thumbnail

Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA

Presenter
  • Hsin-Yuan Huang
October 18, 2023
IPAM
Matthias Caro - Classical Verification of Quantum Learning - IPAM at UCLA Thumbnail

Matthias Caro - Classical Verification of Quantum Learning - IPAM at UCLA

Presenter
  • Matthias Caro
October 17, 2023
IPAM
Randomization, Neutrality, and Fairness: Characterizing General Top Trading Cycles Mechanisms Thumbnail

Randomization, Neutrality, and Fairness: Characterizing General Top Trading Cycles Mechanisms

Presenter
  • Bettina Klaus
October 23, 2023
SLMath
Simultaneous exploring and learning PES Thumbnail

Simultaneous exploring and learning PES

Presenter
  • Alexander Shapeev
October 31, 2017
IPAM
From classical statistics to modern machine learning Thumbnail

From classical statistics to modern machine learning

Presenter
  • Mikhail Belkin
May 23, 2019
IPAM

Methodological Aspects of Predictive Data Analytics and VC-theory

Presenter
  • Vladimir Cherkassky
February 2, 2016
IMA
Wenjing Liao - Exploiting Low-Dimensional Data Structures and Understanding Neural Scaling Laws of Transformers Thumbnail

Wenjing Liao - Exploiting Low-Dimensional Data Structures and Understanding Neural Scaling Laws of Transformers

Presenter
  • Wenjing Liao
July 14, 2025
IPAM