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Thermostatic Controls for Noisy Gradient Systems and Applications to Machine Learning
Presenter
- Ben Leimkuhler
July 30, 2015
ICERM
When big networks are not enough: physics, multifidelity and kernels
Presenter
- Panos Stinis
March 24, 2024
ICERM
Predictive data science for physical systems- From model reduction to scientific machine learning
Presenter
- Karen Willcox
February 20, 2020
ICERM
Algorithm and Hardness for Kernel Matrices in Numerical Linear Algebra and Machine Learning
Presenter
- Zhao Song
February 4, 2020
IAS
Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides
Presenter
- Andrew Ferguson
September 9, 2019
IPAM
Nonlinear dimensionality reduction for faster kernel methods in machine learning.
Presenter
- Christopher Musco
February 12, 2018
IAS
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
Presenter
- Maziar Raissi
June 7, 2017
ICERM
Using Machine-Learning to Create Predictive Material Property Models
Presenter
- Chris Wolverton
September 26, 2016
IPAM