Videos

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Computationally efficient uncertainty quantification for sparse Bayesian learning

Presenter
  • Jan Glaubitz
May 8, 2025
ICERM
Michele Pavanello - Learning functional theories of the 1- and 2-electron reduced density matrices Thumbnail

Michele Pavanello - Learning functional theories of the 1- and 2-electron reduced density matrices

Presenter
  • Michele Pavanello
April 1, 2025
IPAM
Learning nonlocal neural operators for material modeling Thumbnail

Learning nonlocal neural operators for material modeling

Presenter
  • Yue Yu
May 14, 2024
IMSI

When big networks are not enough: physics, multifidelity and kernels

Presenter
  • Panos Stinis
March 24, 2024
ICERM
Homotopy Continuation Techniques for Optimization in Variational Inference Thumbnail

Homotopy Continuation Techniques for Optimization in Variational Inference

Presenter
  • Emma Cobian
December 15, 2023
IMSI

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