For a complete and up-to-date list of my publications please visit my Google Scholar profile!

PhD

• Causal Abstraction Learning based on the Semantic Embedding Principle, D’Acunto G., Zennaro F.M., Felekis Y., Paolo Di Lorenzo, arXiv preprint, 2025.

• Causal Optimal Transport of Abstractions, Felekis Y., Zennaro F.M., Branchini N., Damoulas T., Causal Learning and Reasoning (CLeaR), 2024.

• Causally Abstracted Multi-armed Bandits, Zennaro F.M., Bishop N., Dyer J., Felekis Y., Calinescu A., Wooldridge M., Damoulas T., Uncertainty in Artificial Intelligence (UAI), 2024

• Interventionally Consistent Surrogates for Agent-based Simulators, Dyer J., Bishop N., Felekis Y., Zennaro F.M., Calinescu A., Damoulas T., Wooldridge M., Neural Information Processing Systems (NeurIPS), 2024.

Pre-PhD

• Probabilistic Deep Learning with Generalised Variational Inference, Felekis Y.,, Damoulas T., Paige B., 4th Symposium on Advances in Approximate Bayesian Inference (AABI), 2022.

• λ - Constant Function Markets: Generalizing and Mixing Automated Market Makers, Felekis Y., Kristensen J., IEEE Blockchain, 2022.

• Cryptocurrency Price Prediction with Multi-Task Multi-Step Sequence-To-Sequence Modeling, Kristensen J., Madrigal-Cianci JP., Felekis Y., Maria Liatsikou M., IEEE Blockchain, 2022.

• Deep Learning for Agricultural Land Detection in Insular Areas, Charou E., Felekis Y., Bournou D., 10th International Conference on Information, Intelligence, Systems and Applications (IISA), 2019.

• ex-GPT: An Extractive-Abstractive Summarization Framework with a Sentence Embeddings Twist, Minto L., Kmec J.,Felekis Y., Filippi G., preprint, 2020.