| Optimization methods for interpretable differentiable decision trees applied to reinforcement learning A Silva, M Gombolay, T Killian, I Jimenez, SH Son International conference on artificial intelligence and statistics, 1855-1865, 2020 | 180* | 2020 |
| Methods and apparatus for vehicle operation analysis T Innes, S Mitchell, S Naing, M O'donnell, A Silva US Patent 10,189,479, 2019 | 97 | 2019 |
| Explainable artificial intelligence: Evaluating the objective and subjective impacts of xai on human-agent interaction A Silva, M Schrum, E Hedlund-Botti, N Gopalan, M Gombolay International Journal of Human–Computer Interaction 39 (7), 1390-1404, 2023 | 88 | 2023 |
| Towards a comprehensive understanding and accurate evaluation of societal biases in pre-trained transformers A Silva, P Tambwekar, M Gombolay Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 73 | 2021 |
| Action2vec: A crossmodal embedding approach to action learning M Hahn, A Silva, JM Rehg arXiv preprint arXiv:1901.00484, 2019 | 68 | 2019 |
| Encoding human domain knowledge to warm start reinforcement learning A Silva, M Gombolay Proceedings of the AAAI conference on artificial intelligence 35 (6), 5042-5050, 2021 | 59* | 2021 |
| Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees E Seraj, A Silva, M Gombolay Autonomous Agents and Multi-Agent Systems 36 (2), 39, 2022 | 46 | 2022 |
| Lancon-learn: Learning with language to enable generalization in multi-task manipulation A Silva, N Moorman, W Silva, Z Zaidi, N Gopalan, M Gombolay IEEE Robotics and Automation Letters 7 (2), 1635-1642, 2021 | 36 | 2021 |
| Interpretable and personalized apprenticeship scheduling: Learning interpretable scheduling policies from heterogeneous user demonstrations R Paleja, A Silva, L Chen, M Gombolay Advances in neural information processing systems 33, 6417-6428, 2020 | 36 | 2020 |
| Safe coordination of human-robot firefighting teams E Seraj, A Silva, M Gombolay arXiv preprint arXiv:1903.06847, 2019 | 21 | 2019 |
| Learning interpretable, high-performing policies for autonomous driving R Paleja, Y Niu, A Silva, C Ritchie, S Choi, M Gombolay arXiv preprint arXiv:2202.02352, 2022 | 20 | 2022 |
| Cross-loss influence functions to explain deep network representations A Silva, R Chopra, M Gombolay International Conference on Artificial Intelligence and Statistics, 1-17, 2022 | 15 | 2022 |
| Robot classification of human interruptibility and a study of its effects S Banerjee, A Silva, S Chernova ACM Transactions on Human-Robot Interaction (THRI) 7 (2), 1-35, 2018 | 14 | 2018 |
| Natural language specification of reinforcement learning policies through differentiable decision trees P Tambwekar, A Silva, N Gopalan, M Gombolay IEEE Robotics and Automation Letters 8 (6), 3621-3628, 2023 | 13 | 2023 |
| Effects of interruptibility-aware robot behavior S Banerjee, A Silva, K Feigh, S Chernova arXiv preprint arXiv:1804.06383, 2018 | 11 | 2018 |
| Fedembed: Personalized private federated learning A Silva, K Metcalf, N Apostoloff, BJ Theobald arXiv preprint arXiv:2202.09472, 2022 | 10 | 2022 |
| Towards Balancing Preference and Performance through Adaptive Personalized Explainability A Silva, P Tambwekar, M Schrum, M Gombolay Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot …, 2024 | 9 | 2024 |
| Learning interpretable, high-performing policies for continuous control problems R Paleja, Y Niu, A Silva, C Ritchie, S Choi, M Gombolay arXiv preprint arXiv:2202.02352, 2022 | 6 | 2022 |
| Multimodal punctuation prediction with contextual dropout A Silva, BJ Theobald, N Apostoloff ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 6 | 2021 |
| Interpretable policy specification and synthesis through natural language and rl P Tambwekar, A Silva, N Gopalan, M Gombolay arXiv preprint arXiv:2101.07140, 2021 | 6 | 2021 |
Matthew GombolayAssociate Professor, Georgia Institute of TechnologyVerified email at cc.gatech.edu