| Elaborating on learned demonstrations with temporal logic specifications C Innes, S Ramamoorthy arXiv preprint arXiv:2002.00784, 2020 | 28 | 2020 |
| Testing rare downstream safety violations via upstream adaptive sampling of perception error models C Innes, S Ramamoorthy 2023 IEEE International Conference on Robotics and Automation (ICRA), 12744 …, 2023 | 9 | 2023 |
| ProbRobScene: A probabilistic specification language for 3D robotic manipulation environments C Innes, S Ramamoorthy 2021 IEEE International Conference on Robotics and Automation (ICRA), 9446-9452, 2021 | 9 | 2021 |
| Robust learning from observation with model misspecification L Viano, YT Huang, P Kamalaruban, C Innes, S Ramamoorthy, A Weller Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | 7 | 2022 |
| Learning factored markov decision processes with unawareness C Innes, A Lascarides Uncertainty in Artificial Intelligence, 123-133, 2020 | 7 | 2020 |
| Automated testing with temporal logic specifications for robotic controllers using adaptive experiment design C Innes, S Ramamoorthy 2022 International Conference on Robotics and Automation (ICRA), 6814-6821, 2022 | 6 | 2022 |
| Risk-driven design of perception systems A Corso, S Katz, C Innes, X Du, S Ramamoorthy, MJ Kochenderfer Advances in Neural Information Processing Systems 35, 9894-9906, 2022 | 5 | 2022 |
| Learning robotic ultrasound scanning using probabilistic temporal ranking M Burke, K Lu, D Angelov, A Straižys, C Innes, K Subr, S Ramamoorthy arXiv preprint arXiv:2002.01240, 2020 | 5 | 2020 |
| Learning structured decision problems with unawareness C Innes, A Lascarides International conference on machine learning, 2941-2950, 2019 | 4 | 2019 |
| Learning rewards from exploratory demonstrations using probabilistic temporal ranking M Burke, K Lu, D Angelov, A Straižys, C Innes, K Subr, S Ramamoorthy Autonomous Robots 47 (6), 733-751, 2023 | 3 | 2023 |
| Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators M Lahariya, C Innes, C Develder, S Ramamoorthy 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 3 | 2022 |
| Automatic synthesis of experiment designs from probabilistic environment specifications C Innes, Y Hristov, G Kamaras, S Ramamoorthy arXiv preprint arXiv:2107.00093, 2021 | 3 | 2021 |
| Learning rewards for robotic ultrasound scanning using probabilistic temporal ranking M Burke, K Lu, D Angelov, A Straižys, C Innes, K Subr, S Ramamoorthy arXiv preprint arXiv:2002.01240, 2020 | 2 | 2020 |
| Dialogue-based generation of self-driving simulation scenarios using Large Language Models AV Miceli-Barone, A Lascarides, C Innes arXiv preprint arXiv:2310.17372, 2023 | | 2023 |
| Dialogue-based generation of self-driving simulation scenarios using Large Language Models A Valerio Miceli-Barone, A Lascarides, C Innes arXiv e-prints, arXiv: 2310.17372, 2023 | | 2023 |
| Anticipating Accidents through Reasoned Simulation C Innes, A Ireland, Y Lin, S Ramamoorthy Proceedings of the First International Symposium on Trustworthy Autonomous …, 2023 | | 2023 |
| Learning to make decisions with unforeseen possibilities C Innes The University of Edinburgh, 2019 | | 2019 |
| Reasoning about Unforeseen Possibilities During Policy Learning C Innes, A Lascarides, SV Albrecht, S Ramamoorthy, B Rosman arXiv preprint arXiv:1801.03331, 2018 | | 2018 |
