Konstantinos Zygalakis

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 14

Top Topics

Random Graph Models

Gaussian Process Regression

Differential Equations

Top Venues

SIAM J. Imaging Sci.

Publications

Xue Gong, Desmond J. Higham, Konstantinos Zygalakis, Ginestra Bianconi
Higher-order Connection Laplacians for Directed Simplicial Complexes. CoRR (2024)
Savvas Melidonis, Paul Dobson, Yoann Altmann, Marcelo Pereyra, Konstantinos Zygalakis
Efficient Bayesian Computation for Low-Photon Imaging Problems. SIAM J. Imaging Sci. 16 (3) (2023)
Tapio Helin, Andrew M. Stuart, Aretha L. Teckentrup, Konstantinos Zygalakis
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures. CoRR (2023)
Paul Dobson, Jesús María Sanz-Serna, Konstantinos Zygalakis
On the connections between optimization algorithms, Lyapunov functions, and differential equations: theory and insights. CoRR (2023)
Stefano Di Giovacchino, Desmond J. Higham, Konstantinos Zygalakis
Backward error analysis and the qualitative behaviour of stochastic optimization algorithms: Application to stochastic coordinate descent. CoRR (2023)
Hoomaan Maskan, Konstantinos Zygalakis, Alp Yurtsever
A Variational Perspective on High-Resolution ODEs. NeurIPS (2023)
Xue Gong, Desmond J. Higham, Konstantinos Zygalakis
Generative Hypergraph Models and Spectral Embedding. CoRR (2022)
Armin Eftekhari, Luis Vargas, Konstantinos Zygalakis
The Forward-Backward Envelope for Sampling with the Overdamped Langevin Algorithm. CoRR (2022)
Enrico Crovini, Simon L. Cotter, Konstantinos Zygalakis, Andrew B. Duncan
Batch Bayesian Optimization via Particle Gradient Flows. CoRR (2022)
Xue Gong, Desmond John Higham, Konstantinos Zygalakis
Directed Network Laplacians and Random Graph Models. CoRR (2021)
Armin Eftekhari, Konstantinos Zygalakis
Implicit Regularization in Matrix Sensing: A Geometric View Leads to Stronger Results. CoRR (2020)
Patrick R. Conrad, Mark A. Girolami, Simo Särkkä, Andrew M. Stuart, Konstantinos Zygalakis
Statistical analysis of differential equations: introducing probability measures on numerical solutions. Stat. Comput. 27 (4) (2017)
Onur Teymur, Konstantinos Zygalakis, Ben Calderhead
Probabilistic Linear Multistep Methods. CoRR (2016)
Onur Teymur, Konstantinos Zygalakis, Ben Calderhead
Probabilistic Linear Multistep Methods. NIPS (2016)