Publications & Preprints

Grounding Generated Videos in Feasible Plans via World Models.
C. Ziakas*, A. Bar, A. Russo.
Preprint (under review), 2026.

VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision-Language Models.
C. Ziakas*, A. Russo.
ICLR 2026.

Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts.
C. Ziakas*, N. Loo, N. Jain, A. Russo.
Preprint (under review), 2025.

Towards Shutdownable Agents via Stochastic Choice.
E. Thornley*, A. Roman*, C. Ziakas*, L. Ho, L. Thomson.
TMLR 2025.

Test-Time Adaptation for Generalizable Task Progress Estimation.
C. Ziakas*, A. Russo.
ICML 2025 Test-Time Adaptation Workshop.

BackboneLearn: A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.
V. Digalakis*, C. Ziakas*.
Preprint, 2023.

Scalable Econometrics on Big Data—The Logistic Regression on Spark.
A. Ouattara*, M. Bulté, W. J. Lin, P. Scholl, B. Veit, C. Ziakas, et al..
Preprint, 2021.

Neural Temporal Point Processes for Capacity Forecasting.
C. Ziakas (supervised by Prof. Günnemann, hosted by BMW).
MSc Thesis, Technical University of Munich, 2021.

Implementation of Decision Trees for Data Streams on Spark.
C. Ziakas (supervised by Prof. Garofalakis).
Diploma Thesis, Technical University of Crete, 2018.

For a full list of publications and preprints, please visit my Google Scholar page.

* indicates equal first authorship.