Bayesian computation for low-photon imaging
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Mathematics
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
People |
ORCID iD |
Konstantinos Zygalakis (Principal Investigator) |
Publications
Sanz Serna J
(2021)
Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations
in Journal of Machine Learning Research
Pereyra M
(2023)
The Split Gibbs Sampler Revisited: Improvements to Its Algorithmic Structure and Augmented Target Distribution
in SIAM Journal on Imaging Sciences
Melidonis S
(2023)
Efficient Bayesian Computation for Low-Photon Imaging Problems
in SIAM Journal on Imaging Sciences
Melidonis S
(2024)
Empirical Bayesian Imaging With Large-Scale Push-Forward Generative Priors
in IEEE Signal Processing Letters
Li Z
(2022)
Sparse Linear Spectral Unmixing of Hyperspectral Images Using Expectation-Propagation
in IEEE Transactions on Geoscience and Remote Sensing
Gong X
(2022)
Generative Hypergraph Models and Spectral Embedding
Gong X
(2023)
Generative hypergraph models and spectral embedding
in Scientific Reports
Eftekhari A
(2023)
The forward-backward envelope for sampling with the overdamped Langevin algorithm
in Statistics and Computing