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Almost nearly perfect Bayesian inversion with physics-informed deep generative models: Applications to computational imaging
Presenter
- Marcelo Pereyra
March 2, 2026
ICERM
Exploring intrinsic Gaussian processes as priors for inverse problems
Presenter
- David Higdon
March 2, 2026
ICERM
Efficient inverse problem solvers via randomized Krylov methods
Presenter
- Silvia Gazzola
March 2, 2026
ICERM
Inverse Problems with Symmetry: A Functional Perspective on Multi-Reference Alignment
Presenter
- Anna Little
March 2, 2026
ICERM
Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting
Presenter
- Nikola Kovachki
March 2, 2026
ICERM
Enabling predictive simulations for design and decision making under a limited budget
Presenter
- Ilias Bilionis
January 21, 2016
IPAM
Sensor Selection for Bayesian Inverse Problems and Data Assimilation via Dimension Reduction
Presenter
- Nicole Nellesen
March 26, 2020
ICERM
Efficient solvers for Bayesian inverse problems and Gaussian random fields
Presenter
- Arvind Saibaba
August 30, 2022
IMSI
Parsimonious structure-exploiting deep neural network surrogates for Bayesian inverse problems and optimal experimental design
Presenter
- Omar Ghattas
October 7, 2020
IMSI
Efficient Krylov subspace methods for large-scale hierarchical Bayesian inverse problems
Presenter
- Julianne Chung
May 6, 2025
ICERM
Hierarchical Bayesian Models for Inverse Problems and Uncertainty Quantification
August 20, 2018
SAMSI
MCMC, SMC and IS in High and Infinite Dimensional Spaces, III
Presenter
- Andrew Stuart
August 28, 2015
SLMath