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Many Particles, Collective Variables, and Machine Learning
Presenter
- Alexandre Tkatchenko
February 24, 2015
IPAM
Extracting insight from large networks: small-scale structures, large-scale structures, and their implications for machine learning and data analysis
Presenter
- Michael Mahoney
October 25, 2011
IMA
Extracting insight from large networks: small-scale structures, large-scale structures, and their implications for machine learning and data analysis
Presenter
- Michael Mahoney
October 25, 2011
IMA
Moving Lapack and ScaLapack to Higher Precision without Too Much Work
Presenter
- Yozo Hida
January 30, 2007
SLMath
Leena Vankadara - Scaling Insights from Infinite-Width Theory for Next Gen Architecture & Learning
Presenter
- Leena Vankadara
October 18, 2024
IPAM
Misha Belkin - Emergence and grokking in "simple" architectures - IPAM at UCLA
Presenter
- Misha Belkin
October 18, 2024
IPAM
Shaowei Lin - Singular Learning, Relative Information and the Dual Numbers - IPAM at UCLA
Presenter
- Shaowei Lin
October 16, 2024
IPAM