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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
Accelerated First-Order Optimization under Nonlinear Constraints
Presenter
- Michael Muehlebach
July 25, 2023
ICERM
Modeling Molecular Kinetics with Koopman Operators and Kernel-based Learning
Presenter
- Feliks N\u00fcske
May 13, 2024
IMSI
Hospital Admission Control and Patient Flow to Efficiently Improve Patient Experience and Outcomes
Presenter
- Mark Oyen
May 17, 2023
IMSI
Harnessing The Properties of Equivariant Neural Networks To Understand And Design Atomic Systems
Presenter
- Tess Smidt
March 29, 2024
IMSI
Jan Janssen - pyiron – Rapid-prototyping and Up-scaling Workflows for the Exascale - IPAM At UCLA
Presenter
- Jan Janssen
May 1, 2023
IPAM
Beyond Gradient Descent: Realizing the Power of Higher Order Solvers on Scalable Platforms
Presenter
- Ananth Grama
November 7, 2018
IPAM
Joshua Schrier - Creating Complex Scientific Workflows that Reach into the Real World - IPAM at UCLA
Presenter
- Joshua Schrier
May 2, 2023
IPAM
