Videos

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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

Solving and Learning Partial Differential Equations with Q-Exponential Processes

Presenter
  • Shiwei Lan
March 6, 2026
ICERM
A phase-space perspective on scientific machine learning Thumbnail

A phase-space perspective on scientific machine learning

Presenter
  • Ivan Dokmanic
June 11, 2025
IMSI
Machine Learning for Fluid Mechanics Thumbnail

Machine Learning for Fluid Mechanics

Presenter
  • Petros Koumoutsakos
October 28, 2019
IPAM

Shedding Light on How the Brain Learns: Smart Experimental Systems and Machine Learning in Neurogenetics

Presenter
  • Hang Lu
July 28, 2025
ICERM
Communication-Avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems Thumbnail

Communication-Avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems

Presenter
  • Aydin Buluç
November 28, 2018
IPAM
Combining computing and learning for (plasma) physics Thumbnail

Combining computing and learning for (plasma) physics

Presenter
  • Frank Jenko
October 17, 2018
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
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

Physics Constrained Machine Learning for Scientific Computing

Presenter
  • Danielle Robinson
March 23, 2024
ICERM
Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications Thumbnail

Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications

Presenter
  • Julia Ling
October 14, 2019
IPAM