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
Learning to Recover from Plan Execution Errors during Robot Manipulation: A Neuro-symbolic Approach Proceedings Article
In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, pp. 12632–12639, IEEE, 2024.
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.
Unsupervised Learning of Neuro-symbolic Rules for Generalizable Context-aware Planning in Object Arrangement Tasks Proceedings Article
In: IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, pp. 12865–12872, IEEE, 2024.
NeuroCut: A Neural Approach for Robust Graph Partitioning Proceedings Article
In: Ricardo Baeza-Yates, Francesco Bonchi (Ed.): Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, pp. 2584–2595, ACM, 2024.
Members
