Konstantinos D. Polyzos

I am an 'Eric and Wendy Schmidt AI in Science' Postdoctoral Fellow at University of California San Diego, working with Prof. Tara Javidi. I obtained my Ph.D. degree at the department of Electrical and Computer Engineering of University of Minnesota, under the supervision of Prof. Georgios B. Giannakis. Before that, I obtained my diploma at the Electrical and Computer Engineering department of University of Patras, Greece in Sep. 2018. 

My research interests span the areas of 3D Scene Reconstruction and Rendering, Novel view Synthesis, AI World Models, Foundation Models, Active Vision, Multimodal AI, Black-box Optimization, Adaptive Learning, and (Bayesian) Agentic AI.  

News

May 2026: Our paper "Can Cross-Layer Transcoders Replace Vision Transformer Activations? An Interpretable Perspective on Vision " is accepted at the CVPR 2026 XAICV workshop!

March 2026: I was invited as a guest lecturer for the class ECE250 Random Processes at UCSD!

March 2026: Our paper "A Single Image and Multimodality Is All You Need for Novel View Synthesis" is accepted at ICLR 2026 Workshop on Multimodal Intelligence! 

Feb. 2026: I was invited as a guest lecturer for the class ECE226 Optimization and Acceleration of Deep Learning on Various Hardware Platforms at UCSD!

Oct. 2025: I presented our work "3D Scene Rendering with Multimodal Gaussian Splatting " at the ASILOMAR 2025 conference, Pacific Grove, California! 

April 2025: I was invited to give a talk at the Minnesota Robotics Institute (MnRI), University of Minnesota, USA!

March 2025: I was invited to give a talk at the Electrical and Computer Engineering department of the University of Georgia, USA! 

Feb. 2025:  I was invited to give a talk at the "AI for Autonomous Robot Systems" session of the 2025 Information Theory and Applications Workshop!

Dec. 2024: I was invited to give a talk at the Unit of Medical Technology and Intelligent Information Systems, Dept. of Material Science & Engineering of the University of Ioannina, Greece! 

Sep. 2024: Our paper "Bayesian Active Learning for Sample Efficient 5G Radio Map Reconstruction" is accepted by IEEE Transactions on Wireless Communications journal!

Sep. 2024: Our paper "Ensembles of Informative Representations for Self-Supervised Learning" (coauthored with Profs. P. A. Traganitis, M. K. Singh, and G. B. Giannakis) won the Best Paper Award (second place) at IEEE MLSP 2024! 

Aug. 2024: Our paper "Weighted Ensembles for Adaptive Active Learning" is accepted by IEEE Transactions on Signal Processing journal!

July 2024: Our paper "Active labeling for online ensemble learning" (coauthored with Profs. Q. Lu and G. B. Giannakis) won the Best Student Paper Award at IEEE SAM 2024! 

May 2024: I defended my Ph.D. dissertation!