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Leveraging machine learning techniques to support planning and emergency response management for storm surge risk
Presenter
- Alex Taflanidis
March 3, 2025
IMSI
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II
Presenter
- Russell Impagliazzo
November 14, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I
Presenter
- Russell Impagliazzo
November 13, 2017
IAS
Applications of Bifurcation Analysis to the Einstein Constraint Equations
Presenter
- Caleb Meier
November 21, 2013
SLMath
Background reduction in searches for gravitational-wave signals from supernovae: A machine learning approach
Presenter
- Marco Cavaglia
February 1, 2019
IPAM
Space-time parallel solvers based on multigrid-reduction-in-time and operator splitting methods
Presenter
- Laura Portero
July 23, 2025
ICERM
Keith Promislow - Correlation in Multiparticle Molecular Models - IPAM at UCLA
Presenter
- Keith Promislow
September 15, 2025
IPAM
Competing sources of variance reduction in parallel replica Monte Carlo, and optimization in the low temperature limit
Presenter
- Paul Dupuis
November 16, 2017
IPAM
Beyond the second timescale in all-atom MD: shallow and deep kinetic models for biomolecules
Presenter
- Frank Noé
October 31, 2017
IPAM
Keith Promislow - Correlation as a Source of Stochasticity in Continuum Models - IPAM at UCLA
Presenter
- Keith Promislow
September 5, 2025
IPAM