Zygalakis, Konstantinos C.

1. Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms
   2021/03/18 by Matthew T. Holden, Marcelo Pereyra, Holden, Matthew +3 · 4 citations
   Computer Science · Engineering · #Generative Adversarial Networks and Image Synthesis #Sparse and Compressive Sensing Techniques #Image and Signal Denoising Methods
2. Efficient Bayesian computation for low-photon imaging problems
   2022/06/10 by Melidonis, Savvas, Dobson, Paul, Altmann, Yoann +2 · 4 citations
   #62E17 #62F30 #62H10 #65C40 #65C60 #65J22 #68U10 (Primary) 62F15 #68W25 (Secondary) #Computation (stat.CO) #FOS: Computer and information sciences
3. Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations
   2021/04/26 by J. M. Sanz‐Serna, Sanz-Serna, J. M., Konstantinos C. Zygalakis +1 · 3 citations
   Mathematics · Medicine · #60H10 #60H35 #65C40 #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Geometric Analysis and Curvature Flows #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA) #Probability (math.PR) #Statistical Methods and Inference
4. The blending region hybrid framework for the simulation of stochastic reaction-diffusion processes
   2020/09/30 by Yates, Christian A., George, Adam, Jordana, Armand +3 · 2 citations
   #Computational Physics (physics.comp-ph) #FOS: Biological sciences #FOS: Physical sciences #Quantitative Methods (q-bio.QM)
5. (Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics
   2015/01/02 by Vollmer, Sebastian J., Zygalakis, Konstantinos C., Teh, and Yee Whye · 1 citation
   #60J05 #65C05 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
6. Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems
   2025/03/20 by Klatzer, Teresa, Melidonis, Savvas, Pereyra, Marcelo +1 · 5 citations
   #53B21 #60H35 #62F15 #65C40 #65C60 #65J22 #68U10 #Computation (stat.CO) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
7. A Variational Perspective on High-Resolution ODEs
   2023/11/03 by Maskan, Hoomaan, Zygalakis, Konstantinos C., Yurtsever, Alp · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
8. The split Gibbs sampler revisited: improvements to its algorithmic structure and augmented target distribution
   2022/06/28 by Marcelo Pereyra, Luis A. Vargas-Mieles, Pereyra, Marcelo +3 · 1 citation
   Computer Science · Mathematics · #60J22 #62F15 #62H10 #65C40 #65J22 #68U10 (Primary) 62E17 #68W25 (Secondary) #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference