David Debot
KU Leuven PhD candidate at the DTAI research group.
Hello! I’m a PhD candidate under the supervision of professor Giuseppe Marra at the DTAI research group at KU Leuven, Belgium. My research interests include neurosymbolic AI, concept-based models, and deep learning in general.
news
| Mar 11, 2025 | [Award] “Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields” won the Best Demo Award at AAAI 2025! |
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| Dec 11, 2024 | [Presentation] I presented my poster for “Interpretable Concept-Based Memory Reasoning” at NeurIPS 2024. Check out the Medium blogpost. |
| Nov 19, 2024 | [Accepted paper] “Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields” got accepted at the demo track of AAAI 2025. |
| Oct 04, 2024 | [General] I received a PhD fellowship for fundamental research from FWO. |
| Sep 29, 2024 | [Presentation] I presented my poster for the paper “Integrating Local and Global Interpretability for Deep Concept-Based Reasoning Models” at the eXCV workshop at ECCV 2024. |
| Sep 25, 2024 | [Accepted paper] “Interpretable Concept-Based Memory Reasoning” got accepted at NeurIPS 2024! |
| Aug 16, 2024 | [Accepted paper] “Integrating Local and Global Interpretability for Deep Concept-Based Reasoning Models” got accepted at the eXCV workshop at ECCV 2024. |
| Jun 26, 2024 | [General] I have joined the PyC team, developing a library for concept-based interpretable AI. |
| Sep 01, 2023 | [General] I officially started my PhD in the DTAI lab at KU Leuven. |