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Computationally efficient uncertainty quantification for sparse Bayesian learning
Presenter
- Jan Glaubitz
May 8, 2025
ICERM
Michele Pavanello - Learning functional theories of the 1- and 2-electron reduced density matrices
Presenter
- Michele Pavanello
April 1, 2025
IPAM
When big networks are not enough: physics, multifidelity and kernels
Presenter
- Panos Stinis
March 24, 2024
ICERM
Homotopy Continuation Techniques for Optimization in Variational Inference
Presenter
- Emma Cobian
December 15, 2023
IMSI
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