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 on Thomas Lukasiewicz and his team, see: Intelligent Systems Lab.
Selected Publications
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PiShield: A NeSy Framework for Learning with Requirements
Mihaela Cătălina Stoian‚ Alex Tatomir‚ Eleonora Giunchiglia and Thomas Lukasiewicz
In Proceedings of the 33rd International Joint Conference on Artificial Intelligence‚ IJCAI 2024‚ Demos‚ Jeju Island‚ South Korea‚ August 3–9‚ 2024. ijcai.org. August, 2024.
Details about PiShield: A NeSy Framework for Learning with Requirements | BibTeX data for PiShield: A NeSy Framework for Learning with Requirements
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The IMO Small Challenge: First IMO Dataset for LLMs
Simon Frieder‚ Mirek Olšák‚ Julius Berner and Thomas Lukasiewicz
In Proceedings of the 12th International Conference on Learning Representations‚ ICLR 2024‚ Tiny Papers Track‚ Vienna‚ Austria‚ 7–11 May 2024. May, 2024.
Details about The IMO Small Challenge: First IMO Dataset for LLMs | BibTeX data for The IMO Small Challenge: First IMO Dataset for LLMs
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How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
Mihaela Catalina Stoian‚ Salijona Dyrmishi‚ Maxime Cordy‚ Thomas Lukasiewicz and Eleonora Giunchiglia
In Proceedings of the 12th International Conference on Learning Representations‚ ICLR 2024‚ Vienna‚ Austria‚ 7–11 May 2024. May, 2024.
Details about How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data | BibTeX data for How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data