Videos

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On Learning Operators

Presenter
  • Siddhartha Mishra
June 6, 2023
ICERM

Predictive data science for physical systems- From model reduction to scientific machine learning

Presenter
  • Karen Willcox
February 20, 2020
ICERM
Algorithm and Hardness for Kernel Matrices in Numerical Linear Algebra and Machine Learning Thumbnail

Algorithm and Hardness for Kernel Matrices in Numerical Linear Algebra and Machine Learning

Presenter
  • Zhao Song
February 4, 2020
IAS
Deep Learning: Triangle Machine Learning Day - What You Didn’t Learn About Machine Learning in School, Wayne Thompson Thumbnail

Deep Learning: Triangle Machine Learning Day - What You Didn’t Learn About Machine Learning in School, Wayne Thompson

September 20, 2019
SAMSI
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
Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides Thumbnail

Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides

Presenter
  • Andrew Ferguson
September 9, 2019
IPAM
Nonlinear dimensionality reduction for faster kernel methods in machine learning. Thumbnail

Nonlinear dimensionality reduction for faster kernel methods in machine learning.

Presenter
  • Christopher Musco
February 12, 2018
IAS

Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations

Presenter
  • Maziar Raissi
June 7, 2017
ICERM
Using Machine-Learning to Create Predictive Material Property Models Thumbnail

Using Machine-Learning to Create Predictive Material Property Models

Presenter
  • Chris Wolverton
September 26, 2016
IPAM

From Dynamics to Algorithms for Optimization and Sampling

Presenter
  • Andre Wibisono
June 24, 2024
ICERM
Randomization, Neutrality, and Fairness: "Sampling, Optimization, and Evaluating Tradeoffs in Redistricting" Thumbnail

Randomization, Neutrality, and Fairness: "Sampling, Optimization, and Evaluating Tradeoffs in Redistricting"

Presenter
  • Daryl DeFord
October 26, 2023
SLMath
Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors"

Presenter
  • Jeremias Sulam
August 30, 2023
SLMath