Hey there, I'm Jaron, a PhD candidate supervised by Luc De Raedt at the DTAI research group. I do research in the intersection of probabilistic reasoning and deep learning (neurosymbolic AI). Previously, I worked at a medical AI startup.
Give me anonymous feedback!| [Jun 24] | "Extracting Finite State Machines from Transformers" was accepted at the Workshop on Mechanistic Interpretability at ICML2024 [paper]. |
| [May 24] | "On the Hardness of Probabilistic Neurosymbolic Learning" was accepted at ICML2024 [paper][video][code]. |
| [Feb 24] | Attended the AI winter school at Paderborn University. |
| [Dec 23] | I presented my first paper at NeurIPS2023: "Soft-Unification in Deep Probabilistic Programming" [paper][video][code]. |
| [Jan 23] | Attended the DeepLearn 2023 Winter school. |
| [Dec 20] | I received a prize from IBM at the NLC2CMD competition at NeurIPS2020, for my work on program synthesis with LLMs during a research internship at Bell Labs. |
| [Jul 24] | Invited seminar at the TU Wien Institute of Logic and Computation. |
| [May 24] | "Soft-Unification in Deep Probabilistic Logic", talk at the Generative NeSy Workshop. |
| [May 24] | "Neurosymbolic Learning, a Probabilistic Journey", introductory seminar on probabilistic neurosymbolic learning at DTAI [slides]. |
| [Mar 24] | "AI and your Research", Invited talk (non-technical) at the LC&Y institute on the use of AI in research [video]. |
| [Nov 23] | Presented at the Flanders AI research day 2023. |
| [23/24] | Rik Adriaensen. "Extracting Finite State Machines from Transformers" |
The preceding merely defines a way of thinking. But the point is to live.
- Albert Camus, Le Mythe de Sisyphe