Konstantinos D. Polyzos

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 16

Top Topics

Gaussian Process

Top Venues

Publications

Manish Kumar Singh, Konstantinos D. Polyzos, Panagiotis A. Traganitis, Sairaj V. Dhople, Georgios B. Giannakis
Physics-Informed Transfer Learning for Voltage Stability Margin Prediction. ICASSP (2023)
Konstantinos D. Polyzos, Alireza Sadeghi, Georgios B. Giannakis
Bayesian Self-Supervised Learning Using Local and Global Graph Information. CAMSAP (2023)
Athanasios Bacharis, Konstantinos D. Polyzos, Henry J. Nelson, Georgios B. Giannakis, Nikolaos Papanikolopoulos
3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning. CoRR (2023)
Qin Lu, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis
Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Stavroula Tassi, Konstantinos D. Polyzos, Dimitrios I. Fotiadis, Antonis I. Sakellarios
Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference. BIBM (2023)
Qin Lu, Konstantinos D. Polyzos
Gaussian Process Dynamical Modeling for Adaptive Inference Over Graphs. ICASSP (2023)
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
Bayesian Optimization with Ensemble Learning Models and Adaptive Expected Improvement. ICASSP (2023)
Qin Lu, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis
Surrogate modeling for Bayesian optimization beyond a single Gaussian process. CoRR (2022)
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles. IEEECONF (2022)
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
Weighted Ensembles for Active Learning with Adaptivity. CoRR (2022)
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
Ensemble Gaussian Processes for Online Learning Over Graphs With Adaptivity and Scalability. IEEE Trans. Signal Process. 70 (2022)
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
Online Graph-Guided Inference Using Ensemble Gaussian Processes of Egonet Features. ACSCC (2021)
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
Graph-Adaptive Incremental Learning Using an Ensemble of Gaussian Process Experts. ICASSP (2021)
Konstantinos D. Polyzos, Qin Lu, Alireza Sadeghi, Georgios B. Giannakis
On-Policy Reinforcement Learning via Ensemble Gaussian Processes with Application to Resource Allocation. ACSCC (2021)
Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis
Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. CoRR (2021)
Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis
Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. ACSSC (2020)