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Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning
Presenter
- Michael Mahoney
October 14, 2019
IPAM
Distinguishing Resource Selection from Heavy-Tailed Dispersal in Spatial Epidemic Models
Presenters
- Maike Morrison
- Emily Strong
August 8, 2018
MBI
A Combined Numerical, Mathematical, and Empirical Model to Predict the Evolution of Drug Resistance
Presenter
- Julia Pelesko
August 6, 2018
MBI
Deep Spatial Learning for Forensic Geolocation with Microbiome Data
Presenter
- Brian Reich
April 25, 2018
IMA
Verification within Complexity: Comparing Spatial Fields
Presenter
- Eric Gilleland
April 25, 2018
IMA
Deep learning in medical imaging: Techniques for image reconstruction, super-resolution and segmentation
Presenter
- Daniel Rueckert
February 6, 2018
IPAM
Every Patient Deserves Their Own Equation: Patient-Specific Mathematical NeuroOncology
Presenter
- Kristin Swanson
November 8, 2017
MBI
From Virtual Photons to Quantum Pinwheels: Fluctuation Effects in Nanophotonics
Presenter
- Steven Johnson
March 14, 2017
IMA
Mathematics is the champion of biomolecular data challenges
Presenter
- Guowei Wei
September 16, 2016
MBI
Cost-benefit Analysis of the Construction Dynamics of Army Ants
Presenter
- Dylana Wilhelm
August 8, 2016
MBI