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Scalable algorithms for optimal training data for Bayesian inference of large scale models
Presenter
- Omar Ghattas
September 27, 2018
IPAM
Designing protein models with machine learning and experimental data
Presenter
- Klara Bonneau
April 26, 2024
IMSI
Parametrizing coarse-grained molecular systems from ab-initio computations: some elements
Presenter
- Gabriel Stoltz
October 24, 2016
IPAM
Quantitative Propagation of Chaos for 2D Viscous Vortex Model on the Whole Space
Presenter
- Zhenfu Wang
May 6, 2024
ICERM
Interacting Particle Systems for Optimization: from Particle Swarm Optimization to Consensus-based Optimization
Presenter
- Hui Huang
May 10, 2024
ICERM
Cengiz Pehlevan - 2 stories in mechanistic interpretation of natural & artificial neural computation
Presenter
- Cengiz Pehlevan
October 15, 2024
IPAM
A Story of Principal Component Analysis in the Distributed Model
Presenter
- David Woodruff
May 16, 2016
IMA