Konstantinos C. Zygalakis

42 papers Journal 42

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems. CoRR Teresa Klatzer, Savvas Melidonis, Marcelo Pereyra, Konstantinos C. Zygalakis
2025	J	`jnl`	On the Connections between Optimization Algorithms, Lyapunov Functions, and Differential Equations: Theory and Insights. SIAM J. Optim. Paul Dobson, Jesús María Sanz-Serna, Konstantinos C. Zygalakis
2025	J	`jnl`	Score-Based Denoising Diffusion Models for Photon-Starved Image Restoration Problems. Trans. Mach. Learn. Res. Savvas Melidonis, Yiming Xi, Konstantinos C. Zygalakis, Yoann Altmann, Marcelo Pereyra
2024	J	`jnl`	A hybrid tau-leap for simulating chemical kinetics with applications to parameter estimation. CoRR Thomas Trigo Trindade, Konstantinos C. Zygalakis
2024	J	`jnl`	A linear transportation Lp distance for pattern recognition. Pattern Recognit. Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
2024	J	`jnl`	Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling. SIAM J. Imaging Sci. Teresa Klatzer, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesús María Sanz-Serna, Konstantinos C. Zygalakis
2024	J	`jnl`	Empirical Bayesian Imaging With Large-Scale Push-Forward Generative Priors. IEEE Signal Process. Lett. Savvas Melidonis, Matthew Holden, Yoann Altmann, Marcelo Pereyra, Konstantinos C. Zygalakis
2024	J	`jnl`	Gaussian processes for Bayesian inverse problems associated with linear partial differential equations. Stat. Comput. Tianming Bai, Aretha L. Teckentrup, Konstantinos C. Zygalakis
2023	J	`jnl`	A Variational Perspective on High-Resolution ODEs. CoRR Hoomaan Maskan, Konstantinos C. Zygalakis, Alp Yurtsever
2023	J	`jnl`	Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling. CoRR Teresa Klatzer, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesús María Sanz-Serna, Konstantinos C. Zygalakis
2023	J	`jnl`	Gaussian processes for Bayesian inverse problems associated with linear partial differential equations. CoRR Tianming Bai, Aretha L. Teckentrup, Konstantinos C. Zygalakis
2023	J	`jnl`	The Split Gibbs Sampler Revisited: Improvements to Its Algorithmic Structure and Augmented Target Distribution. SIAM J. Imaging Sci. Marcelo Pereyra, Luis Vargas Mieles, Konstantinos C. Zygalakis
2023	J	`jnl`	The forward-backward envelope for sampling with the overdamped Langevin algorithm. Stat. Comput. Armin Eftekhari, Luis Vargas, Konstantinos C. Zygalakis
2022	J	`jnl`	A Hierarchy of Network Models Giving Bistability Under Triadic Closure. Multiscale Model. Simul. Stefano Di Giovacchino, Desmond J. Higham, Konstantinos C. Zygalakis
2022	J	`jnl`	Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks. SIAM J. Imaging Sci. Matthew Holden, Marcelo Pereyra, Konstantinos C. Zygalakis
2021	J	`jnl`	A Hierarchy of Network Models Giving Bistability Under Triadic Closure. CoRR Stefano Di Giovacchino, Desmond J. Higham, Konstantinos C. Zygalakis
2021	J	`jnl`	Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms. CoRR Matthew Holden, Marcelo Pereyra, Konstantinos C. Zygalakis
2021	J	`jnl`	The Connections Between Lyapunov Functions for Some Optimization Algorithms and Differential Equations. SIAM J. Numer. Anal. Jesús María Sanz-Serna, Konstantinos C. Zygalakis
2021	J	`jnl`	Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations. CoRR Jesús María Sanz-Serna, Konstantinos C. Zygalakis
2021	J	`jnl`	Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations. J. Mach. Learn. Res. Jesús María Sanz-Serna, Konstantinos C. Zygalakis
2020	J	`jnl`	A Linear Transportation L CoRR Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
2020	J	`jnl`	Accelerating Proximal Markov Chain Monte Carlo by Using an Explicit Stabilized Method. SIAM J. Imaging Sci. Marcelo Pereyra, Luis Vargas Mieles, Konstantinos C. Zygalakis
2020	J	`jnl`	Contractivity of Runge-Kutta Methods for Convex Gradient Systems. SIAM J. Numer. Anal. Jesús María Sanz-Serna, Konstantinos C. Zygalakis
2020	J	`jnl`	Multi-level Monte Carlo methods for the approximation of invariant measures of stochastic differential equations. Stat. Comput. Michael B. Giles, Mateusz B. Majka, Lukasz Szpruch, Sebastian J. Vollmer, Konstantinos C. Zygalakis
2020	J	`jnl`	The connections between Lyapunov functions for some optimization algorithms and differential equations. CoRR Jesús María Sanz-Serna, Konstantinos C. Zygalakis
2019	J	`jnl`	Accelerating proximal Markov chain Monte Carlo by using explicit stabilised methods. CoRR Luis Vargas, Marcelo Pereyra, Konstantinos C. Zygalakis
2019	J	`jnl`	Contractivity of Runge-Kutta methods for convex gradient systems. CoRR Jesús María Sanz-Serna, Konstantinos C. Zygalakis
2019	J	`jnl`	PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds. CoRR Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
2018	J	`jnl`	Uncertainty Quantification in Graph-Based Classification of High Dimensional Data. SIAM/ASA J. Uncertain. Quantification Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis
2017	J	`jnl`	Uncertainty Quantification in the Classification of High Dimensional Data. CoRR Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis
2016	J	`jnl`	Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics. J. Mach. Learn. Res. Sebastian J. Vollmer, Konstantinos C. Zygalakis, Yee Whye Teh
2016	J	`jnl`	Hybrid framework for the simulation of stochastic chemical kinetics. J. Comput. Phys. Andrew B. Duncan, Radek Erban, Konstantinos C. Zygalakis
2015	J	`jnl`	Long Time Accuracy of Lie-Trotter Splitting Methods for Langevin Dynamics. SIAM J. Numer. Anal. Assyr Abdulle, Gilles Vilmart, Konstantinos C. Zygalakis
2014	J	`jnl`	Efficient simulation of stochastic chemical kinetics with the Stochastic Bulirsch-Stoer extrapolation method. BMC Syst. Biol. Tamás Székely, Kevin Burrage, Konstantinos C. Zygalakis, Manuel Barrio
2014	J	`jnl`	High Order Numerical Approximation of the Invariant Measure of Ergodic SDEs. SIAM J. Numer. Anal. Assyr Abdulle, Gilles Vilmart, Konstantinos C. Zygalakis
2013	J	`jnl`	Weak Second Order Explicit Stabilized Methods for Stiff Stochastic Differential Equations. SIAM J. Sci. Comput. Assyr Abdulle, Gilles Vilmart, Konstantinos C. Zygalakis
2012	J	`jnl`	A higher-order numerical framework for stochastic simulation of chemical reaction systems. BMC Syst. Biol. Tamás Székely, Kevin Burrage, Radek Erban, Konstantinos C. Zygalakis
2012	J	`jnl`	High Weak Order Methods for Stochastic Differential Equations Based on Modified Equations. SIAM J. Sci. Comput. Assyr Abdulle, David Cohen, Gilles Vilmart, Konstantinos C. Zygalakis
2012	J	`jnl`	Numerical Studies of Homogenization under a Fast Cellular Flow. Multiscale Model. Simul. Gautam Iyer, Konstantinos C. Zygalakis
2011	J	`jnl`	Analysis of Brownian Dynamics Simulations of Reversible Bimolecular Reactions. SIAM J. Appl. Math. Jana Lipková, Konstantinos C. Zygalakis, S. Jonathan Chapman, Radek Erban
2011	J	`jnl`	On the Existence and the Applications of Modified Equations for Stochastic Differential Equations. SIAM J. Sci. Comput. Konstantinos C. Zygalakis
2009	J	`jnl`	Calculating effective diffusivities in the limit of vanishing molecular diffusion. J. Comput. Phys. Grigorios A. Pavliotis, Andrew M. Stuart, Konstantinos C. Zygalakis