Bayesian computation for low-photon imaging
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Mathematics
Abstract
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Organisations
People |
ORCID iD |
| Konstantinos Zygalakis (Principal Investigator) |
Publications
Di Giovacchino S
(2021)
A Hierarchy of Network Models Giving Bistability Under Triadic Closure
Di Giovacchino S
(2022)
A Hierarchy of Network Models Giving Bistability Under Triadic Closure
in Multiscale Modeling & Simulation
Di Giovacchino S
(2024)
Backward error analysis and the qualitative behaviour of stochastic optimization algorithms: Application to stochastic coordinate descent
in Journal of Computational Dynamics
Eftekhari A
(2023)
The forward-backward envelope for sampling with the overdamped Langevin algorithm
in Statistics and Computing
Gong X
(2022)
Generative Hypergraph Models and Spectral Embedding
Gong X
(2023)
Generative hypergraph models and spectral embedding
in Scientific Reports
Li Z
(2022)
Sparse Linear Spectral Unmixing of Hyperspectral Images Using Expectation-Propagation
in IEEE Transactions on Geoscience and Remote Sensing
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
Pereyra M
(2023)
The Split Gibbs Sampler Revisited: Improvements to Its Algorithmic Structure and Augmented Target Distribution
in SIAM Journal on Imaging Sciences
Sanz Serna J
(2021)
Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations
in Journal of Machine Learning Research