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A consistent algorithmic framework for structured machine learning
Presenter
- Lorenzo Rosasco
April 29, 2019
IPAM
Variational approximation of dynamical systems using machine learning
Presenter
- Frank Noé
February 11, 2019
IPAM
Nonlinear reduced-order modeling - Using machine learning to enable extreme-scale simulation for many-query problems
Presenter
- Kevin Carlberg
January 29, 2019
ICERM
Communication-Avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems
Presenter
- Aydin Buluç
November 28, 2018
IPAM
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