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Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging
Presenter
- Ian Robinson
October 13, 2022
IPAM
Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA
Presenter
- Demetri Psaltis
October 13, 2022
IPAM
Computational/Statistical Gaps for Learning Neural Networks
Presenter
- Adam Klivans
April 13, 2021
IMSI
Evidence of local entropy optimization in machine learning, physics and neuroscience
Presenter
- Riccardo Zecchina
November 20, 2019
IPAM
Multiscale analysis of accelerated gradient methods in machine learning
Presenter
- Mohammad Farazmand
October 28, 2019
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
Physics-Informed (and -informative) Generative Modelling in Astronomy
Presenter
- Joshua Bloom
September 23, 2019
IPAM
Deep Spatial Learning for Forensic Geolocation with Microbiome Data
Presenter
- Brian Reich
April 25, 2018
IMA