Christos Diou
Associate Professor
Research Field: Artificial Intelligence and Machine Learning
Email:
CV
Christos Diou is an Associate Professor of Artificial Intelligence and Machine Learning at the Department of Informatics and Telematics, Harokopio University of Athens. He is also an affiliated researcher of the Archimedes AI unit and an ELLIS member. He holds a Ph.D. and a Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki. His main research interests include methods for learning robust representations that are capable of out-of-distribution generalization, methods for fair and interpretable machine learning, as well as the use of machine learning for the estimation of causal effects from observational data. He has published several papers in international scientific journals and conferences including venues such as TPAMI, ICLR, CVPR, ICCV, AISTATS and ECAI and has 20 years of experience participating in and leading European and national research projects, focusing on applications of artificial intelligence in healthcare.
Selected Publications
1. Alimisis, P., & Diou, C. (2025). Learning Robust Intervention Representations with Delta Embeddings. In Proceedings of the International Conference on Learning Representations (ICLR 2026).
2. Gkolemis, V., Diou, C., & Gutmann, M. (2026). Fast and Robust Simulation-Based Inference With Optimization Monte Carlo. AISTATS 2026.
3. Ballas, A., & Diou, C. (2025). Gradient-guided annealing for domain generalization. In Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR 2025).
4. Sarridis, I., Koutlis, C., Papadopoulos, S., & Diou, C. (2025). MAVias: Mitigate any visual bias. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2025).
5. Sarridis, I., Koutlis, C., Papadopoulos, S., & Diou, C. (2024). FLAC: Fairness-aware representation learning by suppressing attribute-class associations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(2), 1148-1160.
2. Gkolemis, V., Diou, C., & Gutmann, M. (2026). Fast and Robust Simulation-Based Inference With Optimization Monte Carlo. AISTATS 2026.
3. Ballas, A., & Diou, C. (2025). Gradient-guided annealing for domain generalization. In Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR 2025).
4. Sarridis, I., Koutlis, C., Papadopoulos, S., & Diou, C. (2025). MAVias: Mitigate any visual bias. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2025).
5. Sarridis, I., Koutlis, C., Papadopoulos, S., & Diou, C. (2024). FLAC: Fairness-aware representation learning by suppressing attribute-class associations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(2), 1148-1160.