Biblio

Found 121 results
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2021
Booth*, S., Y. Zhou*, A. Shah, and J. Shah, "Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example", AAAI Conference on Artificial Intelligence, 2021.
Zhou, Y., S. Booth, M. Tulio Ribeiro, and J. Shah, "Do Feature Attribution Methods Correctly Attribute Features?", Conference on Neural Information Processing Systems, Explainable AI Approaches for Debugging and Diagnosis, 12/2021.
Li, S., N. Figueroa, A. Shah, and J. A. Shah, "Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics", Robotics: Science and Systems (R:SS), 07/2021.
Li*, S., D. Park*, Y. Sung*, J. Shah, and N. Roy, "Reactive Task and Motion Planning under Temporal Logic Specifications", IEEE International Conference on Robotics and Automation (ICRA), 06/2021.
Zhou, Y., S. Booth, N. Figueroa, and J. Shah, "RoCUS: Robot Controller Understanding via Sampling", Conference on Robot Learning (CoRL), London, UK, Proceedings of Machine Learning Research, 11/2021.
2020
Unhelkar*, V. V., S. Li*, and J. A. Shah, "Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks", Human-Robot Interaction (HRI), 03/2020.
Muise, C., S. Wollenstein-Betech, S. Booth, J. Shah, and Y. Khazaen, "Modeling Blackbox Agent Behaviour via Knowledge Compilation", AAAI Conference on Artificial Intelligence, Workshop on Plan, Activity, and Intent Recognition (PAIR), 2020.
Muise, C., S. Wollenstein-Betech, S. Booth, J. Shah, and Y. Khazaen, "Modeling Blackbox Agent Behaviour via Knowledge Compilation", AAAI Conference on Artificial Intelligence, Workshop on Plan, Activity, and Intent Recognition (PAIR), 2020.
Booth*, S., A. Shah*, Y. Zhou*, and J. Shah, "Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach", AAAI, StarAI Workshop, 2020.
2019
Lasota, P. A., and J. A. Shah, "Bayesian Estimator for Partial Trajectory Alignment", Robotics: Science and Systems [31% Acceptance Rate], 06/2019.
Kim, J., C. Muise, A. Shah, S. Agarwal, and J. Shah, "Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations", International Joint Conference on Artificial Intelligence (IJCAI), Macau, China, 08/2019.
Booth, S., C. Muise, and J. Shah, "Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively", International Joint Conference on Artificial Intelligence (IJCAI), Macau, China, 08/2019.
Iqbal, T., S. Li, C. Fourie, B. Hayes, and J. A. Shah, "Fast Online Segmentation of Activities from Partial Trajectories", International Conference on Robotics and Automation (ICRA), 05/2019.
Zhou, Y., J. Shah, and S. Schockaert, "Learning Household Task Knowledge from WikiHow Descriptions", International Joint Conference on Artificial Intelligence (IJCAI), Workshop on Semantic Deep Learning, 08/2019.
Unhelkar, V. V., and J. A. Shah, "Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior", AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, 2019.
Ramakrishnan, R., E. Kamar, B. Nushi, D. Dey, J. Shah, and E. Horvitz, "Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution", Association for the Advancement of Artificial Intelligence, 01/2019.
Zhou, Y., S. Schockaert, and J. A. Shah, "Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness", The Web Conference (WWW), San Francisco, CA, ACM, 05/2019.
Li, S., and J. A. Shah, "Safe and Efficient High Dimensional Motion Planning in Space-Time with Time Parameterized Prediction", International Conference on Robotics and Automation (ICRA), 05/2019.
Unhelkar*, V. V., S. Li*, and J. A. Shah, "Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration", Conference on Robot Learning (CoRL), 10/2019.
2018
Shah, A., P. Kamath, S. Li, and J. Shah, "Bayesian Inference of Temporal Task Specifications from Demonstrations", Conference on Neural Information Processing Systems, Montreal, Canada, 2018.
Ramakrishnan, R., E. Kamar, D. Dey, J. Shah, and E. Horvitz, "Discovering Blind Spots in Reinforcement Learning", International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 07/2018.
Unhelkar, V. V., and J. A. Shah, "Enabling Effective Information Sharing in Human-Robot Teams", Robotics: Science and Systems (RSS), Workshop on RSS Pioneers , 06/2018.
Unhelkar, V. V., C. Guan, N. Roy, and J. A. Shah, "Enabling Robot Teammates to Learn Latent States of Human Collaborators", International Conference on Robotics and Automation (ICRA), Workshop on Robot Teammates Operating in Dynamic, Unstructured Environments, 05/2018.
Gombolay, M., R. Wilcox, and J. Shah, "Fast Scheduling of Robot Teams Performing Tasks with Temporospatial Constraints", IEEE Transactions on Robotics (T-RO), vol. 34, issue 1, pp. 220-239, 02/2018.
Unhelkar*, V. V., P. A. Lasota*, Q. Tyroller, R-D. Buhai, L. Marceau, B. Deml, and J. A. Shah, "Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time", IEEE Robotics and Automation Letters (RA-L), vol. 3, issue 3, pp. 8, 07/2018.

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