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Konstantinos C. Zygalakis

Statistical modelling and Bayesian inversion for a Compton imaging system: application to radioactive source localisation

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Feb 16, 2024
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A Variational Perspective on High-Resolution ODEs

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Nov 03, 2023
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Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling

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Aug 18, 2023
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Gaussian processes for Bayesian inverse problems associated with linear partial differential equations

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Jul 17, 2023
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The split Gibbs sampler revisited: improvements to its algorithmic structure and augmented target distribution

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Jun 28, 2022
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Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations

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Apr 26, 2021
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Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms

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Mar 18, 2021
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A Linear Transportation $\mathrm{L}^p$ Distance for Pattern Recognition

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Sep 23, 2020
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The connections between Lyapunov functions for some optimization algorithms and differential equations

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Sep 01, 2020
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Constructing Gradient Controllable Recurrent Neural Networks Using Hamiltonian Dynamics

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Nov 11, 2019
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