Research focus
About the research
Metaxas investigates how artificial intelligence can combine learned patterns with knowledge about the world.
Read the full research overview
His research connects machine learning with physical principles, dynamical systems, and other domain knowledge. Projects span computer vision, biomedical image analysis, and computer graphics, alongside image and text generation using generative models. Additional interests include language and vision language models, explainable AI, and learning with limited supervision. These directions connect the mathematical design of intelligent systems with applications where understanding images and interpreting complex data are central research challenges.
Selected publications
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People & alumni
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