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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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
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A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks
Tommaso Salvatori‚ Yuhang Song‚ Yordan Yordanov‚ Beren Millidge‚ Lei Sha‚ Cornelius Emde‚ Zhenghua Xu‚ Rafal Bogacz and Thomas Lukasiewicz
In Proceedings of the 12th International Conference on Learning Representations‚ ICLR 2024‚ Vienna‚ Austria‚ 7–11 May 2024. May, 2024.
Details about A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks | BibTeX data for A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks