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Tingwei Meng - Bayesian sampler for inverse problems of a stochastic process by leveraging HJ PDEs
Presenter
- Tingwei Meng
July 17, 2025
IPAM
Dmitry Vorotnikov - Matrix-valued problems reminiscent of optimal transport and applications to PDEs
Presenter
- Dmitry Vorotnikov
May 1, 2025
IPAM
Advantages of Weak-Form Equation Learning in Reduced-Order Models for Parametric PDEs
Presenter
- April Tran
January 6, 2025
ICERM
Quasi-Monte Carlo for Bayesian design of experiment problems governed by parametric PDEs
Presenter
- Claudia Schillings,
June 26, 2024
IMSI
Low Rank Time Integrators for Solving Time-Dependent PDEs
Presenter
- Jing-Mei Qiu
February 20, 2024
IMSI
Lagrangian chaos, almost sure exponential mixing, and passive scalar turbulence
Presenter
- Jacob Bedrossian
January 25, 2021
SLMath
Projected Stein variational methods for high-dimensional Bayesian inversion constrained by large-scale PDEs
Presenter
- Peng Chen
April 21, 2020
IPAM
Intrinsic complexity: from approximation of random vectors and random fields to solutions of PDEs
Presenter
- Hongkai Zhao
May 2, 2019
IPAM
Koopman eigenfunctionals and reduced description of partial differential equations
Presenter
- Hiroya Nakao
February 14, 2019
IPAM
Deep Learning-Based Numerical Methods for High-Dimensional Stochastic Control Problems and Parabolic PDEs
Presenter
- Jiequn Han
May 9, 2018
IMA