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Parsimonious structure-exploiting deep neural network surrogates for Bayesian inverse problems and optimal experimental design
Presenter
- Omar Ghattas
October 7, 2020
IMSI
Deep Uncertainty Quantification: With an Application to Integrated Assessment Models
Presenter
- Felix Kubler
March 31, 2023
IMSI
Accelerated Parametric Uncertainty Quantification and Optimal Data Acquisition in an Idealized Global Atmosphere Model
Presenter
- Oliver Dunbar
October 31, 2022
IMSI
How Should Climate Change Uncertainty Impact Social Valuation and Policy?
Presenter
- Lars Hansen
February 7, 2024
IMSI
New strategies for reduced-order models for predicting the statistical responses and uncertainty quantification in complex turbulent dynamical systems
Presenter
- Andrew Majda
January 11, 2017
IPAM
Operator-theoretic approaches for coherent feature extraction in complex systems
Presenter
- Dimitrios Giannakis
May 11, 2021
IMSI
Efficient spin-up of Earth System Models using Anderson Acceleration
Presenter
- Samar Khatiwala
July 26, 2023
ICERM
Carbon prices and forest preservation over space and time in the Brazilian Amazon
Presenter
- Jose Scheinkman
March 31, 2023
IMSI
Surrogates of multi-physics models, in climate and convection, with sequential design for simulators with sharp transitions using Deep Gaussian Processes
Presenter
- Serge Guillas
February 25, 2025
IMSI
Physical theories and stochastic modeling for monsoon prediction
Presenter
- Aneesh Subramanian
August 27, 2021
ICERM
Computationally Expensive Multi-objective Optimization
Presenter
- Juliane Mueller
February 23, 2016
IMA
Interpretable machine learning for analysis and prediction of weather and climate extremes
Presenter
- Alex Cannon
March 3, 2025
IMSI