Konstantinos C. Zygalakis

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 29

Top Topics

Differential Equations

Gaussian Processes

Dimensional Data

Top Venues

SIAM J. Numer. Anal.

SIAM J. Imaging Sci.

Publications

Savvas Melidonis, Matthew Holden, Yoann Altmann, Marcelo Pereyra, Konstantinos C. Zygalakis
Empirical Bayesian Imaging With Large-Scale Push-Forward Generative Priors. IEEE Signal Process. Lett. 31 (2024)
Teresa Klatzer, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesús María Sanz-Serna, Konstantinos C. Zygalakis
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling. SIAM J. Imaging Sci. 17 (2) (2024)
Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
A linear transportation Lp distance for pattern recognition. Pattern Recognit. 147 (2024)
Tianming Bai, Aretha L. Teckentrup, Konstantinos C. Zygalakis
Gaussian processes for Bayesian inverse problems associated with linear partial differential equations. Stat. Comput. 34 (4) (2024)
Thomas Trigo Trindade, Konstantinos C. Zygalakis
A hybrid tau-leap for simulating chemical kinetics with applications to parameter estimation. CoRR (2024)
Armin Eftekhari, Luis Vargas, Konstantinos C. Zygalakis
The forward-backward envelope for sampling with the overdamped Langevin algorithm. Stat. Comput. 33 (4) (2023)
Hoomaan Maskan, Konstantinos C. Zygalakis, Alp Yurtsever
A Variational Perspective on High-Resolution ODEs. CoRR (2023)
Marcelo Pereyra, Luis Vargas Mieles, Konstantinos C. Zygalakis
The Split Gibbs Sampler Revisited: Improvements to Its Algorithmic Structure and Augmented Target Distribution. SIAM J. Imaging Sci. 16 (4) (2023)
Teresa Klatzer, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Jesús María Sanz-Serna, Konstantinos C. Zygalakis
Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling. CoRR (2023)
Tianming Bai, Aretha L. Teckentrup, Konstantinos C. Zygalakis
Gaussian processes for Bayesian inverse problems associated with linear partial differential equations. CoRR (2023)
Stefano Di Giovacchino, Desmond J. Higham, Konstantinos C. Zygalakis
A Hierarchy of Network Models Giving Bistability Under Triadic Closure. Multiscale Model. Simul. 20 (4) (2022)
Matthew Holden, Marcelo Pereyra, Konstantinos C. Zygalakis
Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks. SIAM J. Imaging Sci. 15 (2) (2022)
Jesús María Sanz-Serna, Konstantinos C. Zygalakis
Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations. J. Mach. Learn. Res. 22 (2021)
Jesús María Sanz-Serna, Konstantinos C. Zygalakis
The Connections Between Lyapunov Functions for Some Optimization Algorithms and Differential Equations. SIAM J. Numer. Anal. 59 (3) (2021)
Matthew Holden, Marcelo Pereyra, Konstantinos C. Zygalakis
Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms. CoRR (2021)
Jesús María Sanz-Serna, Konstantinos C. Zygalakis
Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations. CoRR (2021)
Stefano Di Giovacchino, Desmond J. Higham, Konstantinos C. Zygalakis
A Hierarchy of Network Models Giving Bistability Under Triadic Closure. CoRR (2021)
Michael B. Giles, Mateusz B. Majka, Lukasz Szpruch, Sebastian J. Vollmer, Konstantinos C. Zygalakis
Multi-level Monte Carlo methods for the approximation of invariant measures of stochastic differential equations. Stat. Comput. 30 (3) (2020)
Jesús María Sanz-Serna, Konstantinos C. Zygalakis
Contractivity of Runge-Kutta Methods for Convex Gradient Systems. SIAM J. Numer. Anal. 58 (4) (2020)
Jesús María Sanz-Serna, Konstantinos C. Zygalakis
The connections between Lyapunov functions for some optimization algorithms and differential equations. CoRR (2020)
Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
Distance for Pattern Recognition. CoRR (2020)
Marcelo Pereyra, Luis Vargas Mieles, Konstantinos C. Zygalakis
Accelerating Proximal Markov Chain Monte Carlo by Using an Explicit Stabilized Method. SIAM J. Imaging Sci. 13 (2) (2020)
Luis Vargas, Marcelo Pereyra, Konstantinos C. Zygalakis
Accelerating proximal Markov chain Monte Carlo by using explicit stabilised methods. CoRR (2019)
Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds. CoRR (2019)
Jesús María Sanz-Serna, Konstantinos C. Zygalakis
Contractivity of Runge-Kutta methods for convex gradient systems. CoRR (2019)
Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis
Uncertainty Quantification in Graph-Based Classification of High Dimensional Data. SIAM/ASA J. Uncertain. Quantification 6 (2) (2018)
Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis
Uncertainty Quantification in the Classification of High Dimensional Data. CoRR (2017)
Sebastian J. Vollmer, Konstantinos C. Zygalakis, Yee Whye Teh
Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics. J. Mach. Learn. Res. 17 (2016)
Andrew Duncan, Radek Erban, Konstantinos C. Zygalakis
Hybrid framework for the simulation of stochastic chemical kinetics. J. Comput. Phys. 326 (2016)
Assyr Abdulle, Gilles Vilmart, Konstantinos C. Zygalakis
Long Time Accuracy of Lie-Trotter Splitting Methods for Langevin Dynamics. SIAM J. Numer. Anal. 53 (1) (2015)
Assyr Abdulle, Gilles Vilmart, Konstantinos C. Zygalakis
High Order Numerical Approximation of the Invariant Measure of Ergodic SDEs. SIAM J. Numer. Anal. 52 (4) (2014)
Tamás Székely, Kevin Burrage, Konstantinos C. Zygalakis, Manuel Barrio
Efficient simulation of stochastic chemical kinetics with the Stochastic Bulirsch-Stoer extrapolation method. BMC Syst. Biol. 8 (2014)
Assyr Abdulle, Gilles Vilmart, Konstantinos C. Zygalakis
Weak Second Order Explicit Stabilized Methods for Stiff Stochastic Differential Equations. SIAM J. Sci. Comput. 35 (4) (2013)
Tamás Székely, Kevin Burrage, Radek Erban, Konstantinos C. Zygalakis
A higher-order numerical framework for stochastic simulation of chemical reaction systems. BMC Syst. Biol. 6 (2012)
Gautam Iyer, Konstantinos C. Zygalakis
Numerical Studies of Homogenization under a Fast Cellular Flow. Multiscale Model. Simul. 10 (3) (2012)
Assyr Abdulle, David Cohen, Gilles Vilmart, Konstantinos C. Zygalakis
High Weak Order Methods for Stochastic Differential Equations Based on Modified Equations. SIAM J. Sci. Comput. 34 (3) (2012)
Konstantinos C. Zygalakis
On the Existence and the Applications of Modified Equations for Stochastic Differential Equations. SIAM J. Sci. Comput. 33 (1) (2011)
Jana Lipková, Konstantinos C. Zygalakis, S. Jonathan Chapman, Radek Erban
Analysis of Brownian Dynamics Simulations of Reversible Bimolecular Reactions. SIAM J. Appl. Math. 71 (3) (2011)
Grigorios A. Pavliotis, Andrew M. Stuart, Konstantinos C. Zygalakis
Calculating effective diffusivities in the limit of vanishing molecular diffusion. J. Comput. Phys. 228 (4) (2009)