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Practical Tutorial on Machine Learning for Electronic Structure Calculations
Presenter
- Matthias Rupp
September 16, 2016
IPAM
Feature Generation for Drug Discovery Learning- Using Persistent Homology to Create Moduli Spaces of Chemical Compounds
Presenter
- Anthony Bak
July 28, 2015
ICERM
Automatic Selection of Compiler Optimizations Using Graph-Based Program Characterization
Presenter
- John Cavazos
January 12, 2012
ICERM
Non-commutative harmonic analysis in machine learning
Presenter
- Risi Kondor
December 15, 2008
SLMath
Cartesian atomic cluster expansion for machine learning interatomic potentials
Presenter
- Bingqing Cheng
April 10, 2024
IMSI
Lisa Nickerson - Addressing Confounds in Neuroimaging Machine Learning Predictions - IPAM at UCLA
Presenter
- Lisa Nickerson
January 13, 2023
IPAM
Stefan Chmiela - Non-locality in machine learning force fields - IPAM at UCLA
Presenter
- Stefan Chmiela
March 31, 2022
IPAM
Nonlinear reduced-order modeling - Using machine learning to enable extreme-scale simulation for many-query problems
Presenter
- Kevin Carlberg
January 29, 2019
ICERM
Approximating Continuous Functions on Persistence Diagrams for Machine Learning Tasks
Presenter
- Elizabeth Munch
December 13, 2017
ICERM