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Automatic Selection of Compiler Optimizations Using Graph-Based Program Characterization
Presenter
- John Cavazos
January 12, 2012
ICERM
Emerging Programming and Machine Models: Opportunities for Numerical Algorithms R&D
Presenter
- Michael Heroux
January 14, 2011
IMA
Non-commutative harmonic analysis in machine learning
Presenter
- Risi Kondor
December 15, 2008
SLMath
Understanding diffusion in complex materials using machine learning and a variational approach
Presenter
- Dallas Trinkle
May 16, 2024
IMSI
Multiscale and Data-driven Methods for the Simulation of Materials Failure
Presenter
- James Kermode
April 11, 2024
IMSI
Cartesian atomic cluster expansion for machine learning interatomic potentials
Presenter
- Bingqing Cheng
April 10, 2024
IMSI
Unpacking the ingredients of atomic representations: machine learning force fields and beyond
Presenter
- Jigyasa Nigam
April 9, 2024
IMSI
Biological Research and Space Health Enabled by Machine Learning to Support Deep Space Missions
Presenter
- Lauren Sanders
March 24, 2024
ICERM
Roman Orus - News on tensor Networks for machine learning and quantum computing simulation
Presenter
- Roman Orus
February 5, 2024
IPAM
Nonstandard minimax rates in nonparametric latent variable models and representation learning
Presenter
- Bryon Aragam
December 11, 2023
IMSI
Randomization, Neutrality, and Fairness: "Patience Ensures Fairness"
Presenter
- Florian Brandl
October 27, 2023
SLMath