- Attended UAI 2022, and was a discussant for this great paper
- Gave a talk on ‘Policy Gradient’ at the Reinforcement Learning Summer School 2022
- Attended HHAI 2022.
- Presented “Analyzing differentiable fuzzy logic operators” at the KR4HI 2022 workshop.
- New preprint: “Refining neural network predictions using background knowledge”.
- Attended AI in Bergen Summer School on Knowledge Graphs in Machine Learning. Presented “Bridging the Discrete-Continuous gap in Neuro-Symbolic AI“, which got the best presentation award.
- Attended BeNeRL 2022 and presented a poster on Storchastic.
- Part of visitation committee of the Computer Science department of VU Amsterdam.
- “Analyzing differentiable fuzzy logic operators” is officially published in Artificial Intelligence Journal.
- Contributed to Obsidian plugin Breadcrumbs.
- Presented “Storchastic: A Framework for General Stochastic Automatic Differentiation” at NeurIPS 2022.
- Teaching Assistant for DLVU (Deep Learning @ VU) course, gave two lectures on Reinforcement Learning.
- Reviewed for AISTATS 2022.
- Attended IJCLR 2021.
- Attended PROBPROG 2021.
- Presented “Bridging the Discrete-Continuous gap in Neuro-Symbolic AI” at the DKM Unit Seminar.
- Contributed to Obsidian plugin Supercharged Links.
- Collaboration with Alessandro Daniele and Luciano Serafini in FBK (Trento) for a HumaneAI project.
- Finished supervising MSc student Kim van den Houten. Her thesis won the 2021 Extrie Thesis Award.
- Attended ICML 2021.
- Invited talk “Storchastic: A Framework for General Stochastic Automatic Differentiation” at the Pyro seminar.
- Finished course on Research Integrity.
- Reviewed for Journal of Operations Research.
- Reviewed for Journal of Machine Learning Research (JMLR).
- Finished course “Explore Entrepeneurship”.
- New preprint: “Storchastic: A Framework for General Stochastic Automatic Differentiation”.
- New Obsidian plugin Juggl.
- New Obsidian plugin Search on Internet.
- Attended NeurIPS 2020.
- Teaching Assistant for the new DLVU (Deep Learning @ VU) course, gave two recorded lectures on Reinforcement Learning.
- Invited talk “Analyzing differentiable fuzzy logic operators” at the DWS colloquium (Universität Mannheim)
- Finished supervising MSc student Kiara Grouwstra. She presented her work at the NeurIPS 2020 CAP Workshop.
- Presented “Analyzing Differentiable Fuzzy Implications” at KR2020.