Book Chapters
BC1. K. D. Polyzos, P. P. Groumpos, and E. Dermatas “Solving the Inverse Kinematics of Robotic Arm Using Autoencoders,” in Communications in Computer and Information Science, Kravets A. et al Eds., Springer, 2019. [Paper]
Journal Papers
J10. K. D. Polyzos*, A. Bacharis*, S. Madhuvarasu, N. Papanikolopoulos, and T. Javidi, "ActiveInitSplat: How Active Image Selection Helps Gaussian Splatting", International Journal of Computer Vision (submitted). [Arxiv]
J9. A. Bacharis, K. D. Polyzos, G. B. Giannakis, and N. Papanikolopoulos, "BOSfM: A View Planning Framework for Optimal 3D Reconstruction of Agricultural Scenes," IEEE JSTSP Special Series on Artificial Intelligence for Smart Agriculture (submitted). [Arxiv]
J8. A. Sadeghi, K. D. Polyzos, and G. B. Giannakis, "Kernel-driven Self-Supervision for Sample-efficient Learning over Graphs", IEEE Transactions on Pattern Analysis and Machine Intelligence (submitted).
J7. A. Bacharis, K. D. Polyzos, H. J. Nelson, G. B. Giannakis, and N. Papanikolopoulos, “3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning,” IEEE Robotics and Automation Letters, Oct. 2025. [Paper]
J6. S. C. Tassi, K. D. Polyzos, S. Dimos, D. Polyzos, D. I. Fotiadis, A. I. Sakelarios, “Prognostic Model Development for Continuous Carotid Intima-Media Thickness: A Graph-Driven Self-Supervised Learning Approach,” IEEE Journal of Biomedical and Health Informatics, Dec. 2025. [Paper]
J5. K. D. Polyzos, A. Sadeghi, W. Ye, S. Sleder, K. Houssou, J. Calder, Z.-L. Zhang, and G. B. Giannakis, “Bayesian Active Learning for Sample Efficient 5G Radio Map Reconstruction,” IEEE Transactions on Wireless Communications, Oct. 2024. [Paper]
J4. K. D. Polyzos, Q. Lu, and G. B. Giannakis, “Weighted Ensembles for Adaptive Active Learning,” IEEE Transactions on Signal Processing, Aug. 2023. [Paper]
J3. Q. Lu*, K. D. Polyzos*, B. Li, and G. B. Giannakis, “Surrogate modeling for Bayesian optimization beyond a single Gaussian process,” IEEE Transactions on Pattern Analysis and Machine Intelligence, April 2023. [Paper]
J2. K. D. Polyzos, Q. Lu, and G. B. Giannakis, “Ensemble Gaussian processes for online learning over graphs with adaptivity and scalability,” IEEE Transactions on Signal Processing, Dec. 2021. [Paper]
J1. D. C. Rodopoulos, T. V. Gortsas, K. D. Polyzos and S. V. Tsinopoulos, “New BEM/BEM and BEM/FEM scalar potential formulations for magnetostatic problems,” Engineering Analysis with Boundary Elements Journal, Elsevier, Sep. 2019. [Paper]
AI/ML/CV Venues & Conference Papers
C23. H. Xiang, H. Zhang, K. D. Polyzos, P. Djuric, Q. Lu, “Bayesian Agentic Medical Diagnosis", 2026 (submitted).
C22. H. Xiang, H. Zhang, K. D. Polyzos, T. Javidi, Q. Lu, “BARM: Bayesian Assistance Routing for Embodied Robot Manipulation over VLM and human experts", 2026 (submitted).
C21. H. Zhang, H. Xiang, K. D. Polyzos, T. Javidi, Q. Lu, “Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity", 2026 (submitted).
C20. G. Chatzoudis, K. D. Polyzos, Z. Li, D. Gu, G. E. Moran, H. Wang, D. N. Metaxas, “Can Cross-Layer Transcoders Replace Vision Transformer Activations? An Interpretable Perspective on Vision", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 Workshop on Explainable AI for Computer Vision, June 2026 (Spotlight presentation). [Paper]
C19. A. Javadi, C. Gau, K. D. Polyzos, T. Javidi, “A Single Image and Multimodality Is All You Need for Novel View Synthesis",International Conference on Learning Representations (ICLR) 2026 Workshop on Multimodal Intelligence, April 2026. [Paper]
C18. C. Gau, K. D. Polyzos, A. Bacharis, S. Madhuvarasu, T. Javidi, “3D Scene Rendering with Multimodal Gaussian Splatting", IEEE Asilomar International Conference on Signals, Systems, and Computers, Oct. 2025. [Paper]
C17. A. Sadeghi, K. D. Polyzos, and G. B. Giannakis, "Kernel-driven Self-Supervision for Multi-View Learning over Graphs," IEEE Asilomar International Conference on Signals, Systems, and Computers, Oct. 2024. [Paper]
C16. K. D. Polyzos, P. A. Traganitis, M. K. Singh, and G. B. Giannakis, “Ensembles of Informative Representations for Self-Supervised Learning,” IEEE International Workshop on Machine Learning for Signal Processing (MLSP), August 2024. (Best paper award) [Paper]
C15. K. D. Polyzos, Q. Lu, and G. B. Giannakis, “Active labeling for online ensemble learning,” IEEE International Workshop on Sensor Array and Multichannel Signal Processing (SAM), July 2024. (Best student paper award) [Paper]
C14. J. Yan, Q. Lu, K. D. Polyzos, “Adaptive Bayesian Optimization for Online Management in Mobile Edge Computing,” IEEE International Workshop on Sensor Array and Multichannel Signal Processing (SAM), July 2024. [Paper]
C13. S. C. Tassi, K. D. Polyzos, D. I. Fotiadis, and A. Sakellarios, “Gaussian Process-based Active Learning for Cardiovascular Disease Inference,” IEEE International Conference on Bioinformatics & Biomedicine (BIBM), Dec. 2023. [Paper]
C12. K. D. Polyzos, A. Sadeghi, G. B. Giannakis, “Bayesian Self-Supervised Learning Using Local and Global Graph Information,” IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec. 2023. (Best student paper award finalist & IEEE SPS travel grant award) [Paper]
C11. M. K. Singh, K. D. Polyzos, P. A. Traganitis, S. Dhople and G. B. Giannakis, “Physics-Informed Transfer Learning for Voltage Stability Margin Prediction,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2023. (IEEE SPS travel grant award) [Paper]
C10. K. D. Polyzos, Q. Lu and G. B. Giannakis, “Bayesian Optimization with Ensemble Learning Models and Adaptive Expected Improvement,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2023. (IEEE SPS travel grant award) [Paper]
C9. Q. Lu, K. D. Polyzos and G. B. Giannakis, “Gaussian process dynamical modeling for adaptive inference over graphs,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2023. (IEEE SPS travel grant award) [Paper]
C8. K. D. Polyzos, Q. Lu, and G. B. Giannakis, “Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles,” IEEE Asilomar International Conference on Signals, Systems, and Computers, Oct. - Nov. 2022. [Paper]
C7. K. D. Polyzos, Q. Lu, and G. B. Giannakis, “Ensemble Gaussian Processes over Egonet Features for Online Graph-Guided Learning,” IEEE Asilomar International Conference on Signals, Systems, and Computers, Oct. - Nov. 2021. [Paper]
C6. K. D. Polyzos, A. Sadeghi, Q. Lu, and G. B. Giannakis, “On-policy Reinforcement Learning via Ensemble Gaussian Processes for Resource Allocation,” Asilomar International Conference on Signals, Systems, and Computers, Oct. - Nov. 2021. [Paper]
C5. K. D. Polyzos, Q. Lu and G. B. Giannakis “Graph-Adaptive Incremental learning using an ensemble of Gaussian process experts,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2021. [Paper]
C4. K. D. Polyzos, C. Mavromatis, V. N. Ioannidis and G. B. Giannakis “Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks,” IEEE Asilomar International Conference on Signals, Systems, and Computers, Nov. 2020. [Paper]
C3. K. D. Polyzos, P. P. Groumpos, and E. Dermatas “Solving the Inverse Kinematics of Robotic Arm Using Autoencoders,” Creativity in Intelligent Technologies and Data Science (CIT&DS) International Conference, Sep. 2019. (Best Paper Award) [Paper]
C2. K. D. Polyzos and E. Dermatas “Design of Automatic Target Recognition system based on multistatic passive RADAR,” UBT International Conference, Oct. 2018. [Paper]
C1. K. D. Polyzos, and E. Dermatas, “Real-Time detection, classification and DOA estimation of Unmanned Aerial Vehicle,” ACOUSTICS2018 National Conference, Greece, Oct. 2018.