Videos

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Massive Parallelization to Learn from Massive Data Thumbnail

Massive Parallelization to Learn from Massive Data

Presenter
  • Marc Suchard
June 25, 2013
IMA
New Recombination Techniques for Polynomial Factorization Algorithms Based on Hensel Lifting Thumbnail

New Recombination Techniques for Polynomial Factorization Algorithms Based on Hensel Lifting

Presenter
  • GrĂ©goire Lecerf
April 18, 2007
IMA

Dynamical reduction for solitonic filaments

Presenter
  • Ricardo Carretero
April 30, 2026
ICERM
Parameter Subset Selection and Active Subspace Techniques for Models in Engineering, Material Science, and Biology Thumbnail

Parameter Subset Selection and Active Subspace Techniques for Models in Engineering, Material Science, and Biology

Presenter
  • Ralph Smith
April 23, 2025
IMSI
Hot Topics: Interactions between Harmonic Analysis, Homogeneous Dynamics, and Number Theory: L-functions and simultaneous equidistribution Thumbnail

Hot Topics: Interactions between Harmonic Analysis, Homogeneous Dynamics, and Number Theory: L-functions and simultaneous equidistribution

Presenter
  • Philippe Michel
March 4, 2025
SLMath

Machine-Learned Finite Element Exterior Calculus for Linear and Nonlinear Problems

Presenter
  • Jonas Actor
June 6, 2023
ICERM
Arnold's variational principle and its application to the stability of viscous planar vortices Thumbnail

Arnold's variational principle and its application to the stability of viscous planar vortices

Presenter
  • Thierry Gallay
April 13, 2021
SLMath

Hybrid collocated-staggered and implicit-explicit FDTD techniques for the electromagnetic modeling of complex materials

Presenter
  • Arne Van Londersele
June 29, 2018
ICERM
Diffusion MRI Tractography and Connectomics: problems and challenges - Maxime Descoteaux, Universite de Sherbrooke Thumbnail

Diffusion MRI Tractography and Connectomics: problems and challenges - Maxime Descoteaux, Universite de Sherbrooke

August 17, 2015
SAMSI
Monte Carlo sampling techniques for solving stochastic and large scale deterministic optimization problems Thumbnail

Monte Carlo sampling techniques for solving stochastic and large scale deterministic optimization problems

Presenter
  • Alexander Shapiro
October 18, 2010
IMA
Mathematical Models of Folded and Unfolded Protein Ensembles Thumbnail

Mathematical Models of Folded and Unfolded Protein Ensembles

Presenter
  • Gregory Chirikjian
January 16, 2008
IMA

Efficient inverse problem solvers via randomized Krylov methods

Presenter
  • Silvia Gazzola
March 2, 2026
ICERM