Thomas Lukasiewicz
Professor Thomas Lukasiewicz
Themes:
- Artificial Intelligence and Machine Learning
- Data, Knowledge and Action
- Algorithms and Complexity Theory
Completed Projects:
Interests
For more information, see also Google Scholar.
Selected Publications
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A Survey on Deep Learning Approaches for Tabular Data Generation: Utility‚ Alignment‚ Fidelity‚ Privacy‚ Diversity‚ and Beyond
Mihaela Catalina Stoian‚ Eleonora Giunchiglia and Thomas Lukasiewicz
In Transactions on Machine Learning Research. 2026.
In press.
Details about A Survey on Deep Learning Approaches for Tabular Data Generation: Utility‚ Alignment‚ Fidelity‚ Privacy‚ Diversity‚ and Beyond | BibTeX data for A Survey on Deep Learning Approaches for Tabular Data Generation: Utility‚ Alignment‚ Fidelity‚ Privacy‚ Diversity‚ and Beyond
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Hybrid Reinforced Medical Report Generation with M−Linear Attention and Repetition Penalty
Zhenghua Xu‚ Wenting Xu‚ Ruizhi Wang‚ Junyang Chen‚ Chang Qi and Thomas Lukasiewicz
In IEEE Transactions on Neural Networks and Learning Systems. Vol. 36. No. 2. Pages 2206–2220. February, 2025.
Details about Hybrid Reinforced Medical Report Generation with M−Linear Attention and Repetition Penalty | BibTeX data for Hybrid Reinforced Medical Report Generation with M−Linear Attention and Repetition Penalty | DOI (https://doi.org/10.1109/TNNLS.2023.3343391)
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Training Deep Predictive Coding Networks
Chang Qi‚ Thomas Lukasiewicz and Tommaso Salvatori.
In Proceedings of the ICLR 2025 Workshop on New Frontiers in Associative Memories‚ Singapore‚ 27 April 2025. February, 2025.
Details about Training Deep Predictive Coding Networks | BibTeX data for Training Deep Predictive Coding Networks