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Regularity theory and uniform convergence in the large data limit of graph Laplacian eigenvectors on random data clouds
Presenter
- Nicolas Garcia Trillos
May 7, 2020
SLMath
From clustering with graph cuts to isoperimetric inequalities: quantitative convergence rates of Cheeger cuts on data clouds
Presenter
- Nicolas Garcia Trillos
April 24, 2020
IPAM
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning
Presenter
- Michael Mahoney
October 14, 2019
IPAM
Deep learning in medical imaging: Techniques for image reconstruction, super-resolution and segmentation
Presenter
- Daniel Rueckert
February 6, 2018
IPAM
Finite Elements for Electrodynamics and Modal Analysis of Dispersive Structures
Presenter
- Andre Nicolet
December 15, 2016
IMA
The density-to-pair-density map in density functional theory
Presenter
- Gero Friesecke
November 18, 2016
IPAM
Incremental Methods for Additive Convex Cost Optimization
Presenter
- Asuman Ozdaglar
March 8, 2016
IMA
On Model Error and Statistical Calibration of Physical Models
Presenter
- Habib Najm
January 19, 2016
IPAM
Refined Bound on the Higher Betti Numbers of Sign Conditions
Presenter
- Sal Barone
April 10, 2014
IPAM
Linear Theory for Filtering Nonlinear Multiscale Systems with Model Error
Presenter
- John Harlim
November 19, 2013
IMA
Semiclassical Theory of Electronically Non-Adiabatic Dynamics
Presenter
- William Miller
September 4, 2013
IPAM