Videos

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Forensics Fall Course: Cedric Neumann - Statistics and Applied Mathematical Science Aspects of Forensic Science – Part 1; Inference of Identity of Source Thumbnail

Forensics Fall Course: Cedric Neumann - Statistics and Applied Mathematical Science Aspects of Forensic Science – Part 1; Inference of Identity of Source

September 22, 2015
SAMSI

Building a Gaussian Process Statistical and Quantitative Learning Framework for Scientific Applications

Presenter
  • Xiaoye Li
September 13, 2025
ICERM
ALAMO: Machine learning from data and first principles Thumbnail

ALAMO: Machine learning from data and first principles

Presenter
  • Nick Sahinidis
October 6, 2017
IPAM

Positive Lyapunov exponents for the Galerkin-Navier-Stokes equations with stochastic forcing

Presenter
  • Jacob Bedrossian
October 22, 2021
ICERM
New strategies for reduced-order models for predicting the statistical responses and uncertainty quantification in complex turbulent dynamical systems Thumbnail

New strategies for reduced-order models for predicting the statistical responses and uncertainty quantification in complex turbulent dynamical systems

Presenter
  • Andrew Majda
January 11, 2017
IPAM
Accelerated kinetic Monte Carlo methods: Hierarchical parallel algorithms and coarse-graining Thumbnail

Accelerated kinetic Monte Carlo methods: Hierarchical parallel algorithms and coarse-graining

Presenter
  • Markos Katsoulakis
October 22, 2010
IMA
Parallel Algorithms for Tensor Train Arithmetic Thumbnail

Parallel Algorithms for Tensor Train Arithmetic

Presenter
  • Peter Benner
March 31, 2021
IPAM
Scalable kernel methods Thumbnail

Scalable kernel methods

Presenter
  • George Biros
October 18, 2018
IPAM
Sparse sampling methods for large scale experimental data Thumbnail

Sparse sampling methods for large scale experimental data

Presenter
  • Rick Archibald
January 30, 2017
IPAM
The Traveling Salesman Problem Thumbnail

The Traveling Salesman Problem

Presenter
  • William Cook
October 16, 2002
IMA
Low Rank Tensor Methods in High Dimensional Data Analysis (Part 2/2) Thumbnail

Low Rank Tensor Methods in High Dimensional Data Analysis (Part 2/2)

Presenter
  • Ming Yuan
March 12, 2021
IPAM
Low Rank Tensor Methods in High Dimensional Data Analysis (Part 1/2) Thumbnail

Low Rank Tensor Methods in High Dimensional Data Analysis (Part 1/2)

Presenter
  • Ming Yuan
March 9, 2021
IPAM