cv
Basics
| Name | David Debot |
| Label | PhD Candidate |
| Date of birth | 30/12/2000 |
| david.debot@kuleuven.be |
Work
-
2023.09 - Present
Education
-
2021.09 - 2023.07 Belgium
Master of Engineering Science: Computer Science
KU Leuven
Major in AI. Summa Cum Laude, P95. Thesis 19/20.
-
2018.09 - 2021.07 Belgium
Bachelor of Engineering Science
KU Leuven
Major in Computer Science, minor in Electrical Engineering. Cum Laude.
Awards
- 2024.10.04
- 2025.03.11
Best Demo Award
AAAI
Publications
-
2024.09.25 Interpretable Concept-Based Memory Reasoning
NeurIPS 2024
We developed an interpretable AI model that achieves similar levels of accuracy as black-box models. Furthermore, the model can be verified against e.g. safety constraints before deployment.
-
2024.09.19 Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields
AAAI 2025
We demonstrated the advantages of using our lab's shielding technique, showing safer and faster training and better out-of-distribution generalization.
Skills
| Programming | |
| Python | |
| Java | |
| Haskell | |
| C++ |
| Machine learning |
Languages
| Dutch | |
| Native speaker |
| English | |
| Fluent |
| French | |
| Basic |