Start date cannot be after end date.
Scalable algorithms for optimal training data for Bayesian inference of large scale models
Presenter
- Omar Ghattas
September 27, 2018
IPAM
Tim Wildey - Inverse Uncertainty Quantification with PyApprox - IPAM at UCLA
Presenter
- Tim Wildey
March 11, 2026
IPAM
A Deeper Understanding of the Quadratic Wasserstein Metric in Inverse Data Matching
Presenter
- Yunan Yang
May 5, 2020
SLMath
Efficient optimization for simulation and real-world applications
Presenter
- Eytan Bakshy
March 24, 2024
ICERM
Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides
Presenter
- Andrew Ferguson
September 9, 2019
IPAM
Towards Digital Twin for Design of Experiments with Moving Sensor
Presenter
- Sven Leyffer
April 16, 2026
ICERM
Exploiting Low-Dimensional Structure in Bayesian Inverse Problems Governed by Ice Sheet Flow Models
Presenter
- Noemi Petra
October 7, 2025
IMSI
Adaptive sparse quadrature for high-dimensional integration with Gaussian distribution: application to Bayesian inverse problems
Presenter
- Peng Chen
July 18, 2016
ICERM