Our Paper on Causality-Aware Shapley Values for Global XAI Accepted at World XAI Conference.

Our paper “CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning” got accepted at AAMAS 24.

Through the kind invitation of Jakob Hollenstein, I got the opportunity to give an invited talk in Innsbruck.

I am thrilled to share that our paper “A Meta-Reinforcement Learning Algorithm for Causal Discovery” got accepted at CLEAR23.

I participated in a three-day workshop on causal inference @TU Eindhoven

I got the opportunity to teach the Bayesian Networks module in the master course Knowledge Representation at VU.

I presented our work “A Meta-Reinforcement Learning Algorithm for Causal Discovery” at the workshop for Causal Representation Learning @UAI22.

I have been made a member of the Program Committe at the KR4HI workshop.

The abstract of our paper “A Meta-Reinforcement Learning Algorithm for Causal Discovery” has been accepted for a poster presentation at ICT.OPEN22.