The group has interests in Reinforcement learning and AI planning, Neuro-symbolic ML, Probabilistic graphical models, Statistical relational learning, Extreme classification, Embodied artificial intelligence, Ethical AI, Fairness and reliability in ML, Privacy issues in ML, ML for social networks, ML applications to healthcare, AI for crowdsourcing, Knowledge-based AI, Computational advertising, AI for robotics.
Publications
GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following Proceedings Article
In: Michael J. Wooldridge, Jennifer G. Dy, Sriraam Natarajan (Ed.): Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, pp. 20113–20122, AAAI Press, 2024.
InduCE: Inductive Counterfactual Explanations for Graph Neural Networks Journal Article
In: Trans. Mach. Learn. Res., vol. 2024, 2024.
Discovering symbolic laws directly from trajectories with hamiltonian graph neural networks Journal Article
In: Mach. Learn. Sci. Technol., vol. 5, no. 3, pp. 35049, 2024.
The Road to Explainable Graph Neural Networks Journal Article
In: SIGMOD Rec., vol. 53, no. 3, pp. 32–34, 2024.
Members
