| 2025 | ACSSC | 3D Scene Rendering with Multimodal Gaussian Splatting. | Chi-Shiang Gau, Konstantinos D. Polyzos, Athanasios Bacharis, Saketh Madhuvarasu, Tara Javidi |
| 2024 | ACSSC | Kernel-Driven Self-Supervision for Multi-View Learning Over Graphs. | Alireza Sadeghi, Konstantinos D. Polyzos, Georgios B. Giannakis |
| 2023 | ICASSP | Gaussian Process Dynamical Modeling for Adaptive Inference Over Graphs. | Qin Lu, Konstantinos D. Polyzos |
| 2023 | ICASSP | Bayesian Optimization with Ensemble Learning Models and Adaptive Expected Improvement. | Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis |
| 2023 | ICASSP | Physics-Informed Transfer Learning for Voltage Stability Margin Prediction. | Manish Kumar Singh, Konstantinos D. Polyzos, Panagiotis A. Traganitis, Sairaj V. Dhople, Georgios B. Giannakis |
| 2022 | ACSSC | Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles. | Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis |
| 2021 | ACSSC | Online Graph-Guided Inference Using Ensemble Gaussian Processes of Egonet Features. | Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis |
| 2021 | ACSSC | On-Policy Reinforcement Learning via Ensemble Gaussian Processes with Application to Resource Allocation. | Konstantinos D. Polyzos, Qin Lu, Alireza Sadeghi, Georgios B. Giannakis |
| 2021 | ICASSP | Graph-Adaptive Incremental Learning Using an Ensemble of Gaussian Process Experts. | Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis |
| 2020 | ACSSC | Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. | Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis |