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Published in Diploma Thesis, Technical University of Crete, 2018
Published in MSc Thesis, Technical University of Munich, 2021
Published in Preprint, 2021
Implements scalable logistic regression on Apache Spark with emphasis on distributed performance and econometric accuracy.
Published in Preprint, 2023
A practical library that scales MIO-ML formulations, providing APIs and solvers for large-scale mixed-integer optimization in ML.
Published in ICLR 2026, 2025
Shows that contrastive VLMs can be adapted at test time to serve as generalizable value estimators for decision-making.
Published in ICML 2025 Test-Time Adaptation Workshop, 2025
A self-supervised TTA objective that improves progress estimation across unseen embodiments, environments, and tasks.
Published in Preprint (under review), 2025
A bandit-driven mixture of LoRA experts that adapts at test time to uncover vulnerabilities during LLM red-teaming.
Published in TMLR 2025, 2025
Explores mechanisms for shutdownable agents using stochastic choice, analyzing behavior under intervention and uncertainty.
Published in Preprint (under review), 2026
Grounds video generation in feasible action plans using world models for embodied decision-making.
Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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