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Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty
Presenter
- Paris Perdikaris
September 28, 2018
IPAM
Some things you need to know about machine learning but didn't know whom to ask (the grad school version)
Presenter
- Sanjeev Arora
February 5, 2018
IAS
Approximating Continuous Functions on Persistence Diagrams for Machine Learning Tasks
Presenter
- Elizabeth Munch
December 13, 2017
ICERM
Everything you wanted to know about machine learning but didn't know whom to ask
Presenter
- Sanjeev Arora
November 27, 2017
IAS
How do we build good databases for machine learning of force fields?
Presenter
- Gábor Csányi
October 30, 2017
IPAM
Using Cover-Trees and Friends for Machine Learning with the CDER algorithm
Presenter
- Abraham Smith
May 2, 2017
IMA
Navigating colloidal design space with machine learning
Presenter
- Matthew Spellings
December 7, 2016
IPAM
Collective Variables in Quantum Mechanics and Machine Learning
Presenter
- Alexandre Tkatchenko
November 14, 2016
IPAM
A Story of Principal Component Analysis in the Distributed Model
Presenter
- David Woodruff
May 16, 2016
IMA
Shape Analysis and Learning by Geometry and Machine (Overview - Part 2)
Presenter
- Ron Kimmel
February 8, 2016
IPAM