Konstantinos D. Polyzos

29 papers Misc 5Journal 14Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
3D Scene Rendering with Multimodal Gaussian Splatting.
CoRR
Chi-Shiang Gau, Konstantinos D. Polyzos, Athanasios Bacharis, Saketh Madhuvarasu, Tara Javidi
2026 J jnl
A Single Image and Multimodality Is All You Need for Novel View Synthesis.
CoRR
Amirhosein Javadi, Chi-Shiang Gau, Konstantinos D. Polyzos, Tara Javidi
2025 — conf
3D Scene Rendering with Multimodal Gaussian Splatting.
IEEECONF
Chi-Shiang Gau, Konstantinos D. Polyzos, Athanasios Bacharis, Saketh Madhuvarasu, Tara Javidi
2025 J jnl
ActiveInitSplat: How Active Image Selection Helps Gaussian Splatting.
CoRR
Konstantinos D. Polyzos, Athanasios Bacharis, Saketh Madhuvarasu, Nikos Papanikolopoulos, Tara Javidi
2025 J jnl
BOSfM: A View Planning Framework for Optimal 3D Reconstruction of Agricultural Scenes.
CoRR
Athanasios Bacharis, Konstantinos D. Polyzos, Georgios B. Giannakis, Nikolaos Papanikolopoulos
2025 J jnl
Efficient 3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning.
IEEE Robotics Autom. Lett.
Athanasios Bacharis, Konstantinos D. Polyzos, Henry J. Nelson, Georgios B. Giannakis, Nikolaos Papanikolopoulos
2025 J jnl
Prognostic Model Development for Continuous Carotid Intima-Media Thickness: A Graph-Driven Self-Supervised Learning Approach.
IEEE J. Biomed. Health Informatics
Stavroula C. Tassi, Konstantinos D. Polyzos, Sokratis S. Dimos, Demosthenes Polyzos, Dimitrios I. Fotiadis, Antonis I. Sakellarios
2024 — conf
Active labeling for online ensemble learning.
SAM
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
2024 — conf
Adaptive Bayesian Optimization for Online Management in Mobile Edge Computing.
SAM
Jia Yan, Qin Lu, Konstantinos D. Polyzos
2024 J jnl
Bayesian Active Learning for Sample Efficient 5G Radio Map Reconstruction.
IEEE Trans. Wirel. Commun.
Konstantinos D. Polyzos, Alireza Sadeghi, Wei Ye, Steven Sleder, Kodjo Houssou, Jeff Calder, Zhi-Li Zhang, Georgios B. Giannakis
2024 — conf
Ensembles of Informative Representations for Self-Supervised Learning.
MLSP
Konstantinos D. Polyzos, Panagiotis A. Traganitis, Manish Kumar Singh, Georgios B. Giannakis
2024 — conf
Kernel-Driven Self-Supervision for Multi-View Learning Over Graphs.
IEEECONF
Alireza Sadeghi, Konstantinos D. Polyzos, Georgios B. Giannakis
2024 J jnl
Weighted Ensembles for Adaptive Active Learning.
IEEE Trans. Signal Process.
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
2023 J jnl
3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning.
CoRR
Athanasios Bacharis, Konstantinos D. Polyzos, Henry J. Nelson, Georgios B. Giannakis, Nikolaos Papanikolopoulos
2023 Misc conf
Bayesian Optimization with Ensemble Learning Models and Adaptive Expected Improvement.
ICASSP
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
2023 — conf
Bayesian Self-Supervised Learning Using Local and Global Graph Information.
CAMSAP
Konstantinos D. Polyzos, Alireza Sadeghi, Georgios B. Giannakis
2023 Misc conf
Gaussian Process Dynamical Modeling for Adaptive Inference Over Graphs.
ICASSP
Qin Lu, Konstantinos D. Polyzos
2023 — conf
Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference.
BIBM
Stavroula C. Tassi, Konstantinos D. Polyzos, Dimitrios I. Fotiadis, Antonis I. Sakellarios
2023 Misc conf
Physics-Informed Transfer Learning for Voltage Stability Margin Prediction.
ICASSP
Manish Kumar Singh, Konstantinos D. Polyzos, Panagiotis A. Traganitis, Sairaj V. Dhople, Georgios B. Giannakis
2023 J jnl
Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process.
IEEE Trans. Pattern Anal. Mach. Intell.
Qin Lu, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis
2022 — conf
Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles.
IEEECONF
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
2022 J jnl
Ensemble Gaussian Processes for Online Learning Over Graphs With Adaptivity and Scalability.
IEEE Trans. Signal Process.
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
2022 J jnl
Surrogate modeling for Bayesian optimization beyond a single Gaussian process.
CoRR
Qin Lu, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis
2022 J jnl
Weighted Ensembles for Active Learning with Adaptivity.
CoRR
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
2021 Misc conf
Graph-Adaptive Incremental Learning Using an Ensemble of Gaussian Process Experts.
ICASSP
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
2021 — conf
On-Policy Reinforcement Learning via Ensemble Gaussian Processes with Application to Resource Allocation.
ACSCC
Konstantinos D. Polyzos, Qin Lu, Alireza Sadeghi, Georgios B. Giannakis
2021 — conf
Online Graph-Guided Inference Using Ensemble Gaussian Processes of Egonet Features.
ACSCC
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
2021 J jnl
Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks.
CoRR
Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis
2020 Misc conf
Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks.
ACSSC
Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis