| Bayesian policy reuse B Rosman, M Hawasly, S Ramamoorthy Machine Learning 104, 99-127, 2016 | 96 | 2016 |
| Topological trajectory classification with filtrations of simplicial complexes and persistent homology FT Pokorny, M Hawasly, S Ramamoorthy The International Journal of Robotics Research 35 (1-3), 204-223, 2016 | 78 | 2016 |
| Multiscale Topological Trajectory Classification with Persistent Homology FT Pokorny, M Hawasly, S Ramamoorthy Robotics: Science and Systems X, 2014 | 39 | 2014 |
| A two-stage optimization-based motion planner for safe urban driving F Eiras, M Hawasly, SV Albrecht, S Ramamoorthy IEEE Transactions on Robotics 38 (2), 822-834, 2021 | 35 | 2021 |
| Clustering markov decision processes for continual transfer MM Mahmud, M Hawasly, B Rosman, S Ramamoorthy arXiv preprint arXiv:1311.3959, 2013 | 30 | 2013 |
| Pilot: Efficient planning by imitation learning and optimisation for safe autonomous driving H Pulver, F Eiras, L Carozza, M Hawasly, SV Albrecht, S Ramamoorthy 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 25 | 2021 |
| LAraBench: Benchmarking Arabic AI with Large Language Models A Abdelali, H Mubarak, SA Chowdhury, M Hasanain, B Mousi, ... arXiv preprint arXiv:2305.14982, 2023 | 24 | 2023 |
| PaRoT: A practical framework for robust deep neural network training EW Ayers, F Eiras, M Hawasly, I Whiteside NASA Formal Methods: 12th International Symposium, NFM 2020, Moffett Field …, 2020 | 20 | 2020 |
| Natural language grounding and grammar induction for robotic manipulation commands M Alomari, P Duckworth, M Hawasly, DC Hogg, AG Cohn Proceedings of the First Workshop on Language Grounding for Robotics, 35-43, 2017 | 17 | 2017 |
| Social networks save energy: optimizing energy consumption in an ecovillage via agent-based simulation M Hawasly, D Corne, S Roaf Architectural Science Review 53 (1), 126-140, 2010 | 16 | 2010 |
| FPR — fast path risk algorithm to evaluate collision probability A Blake, A Bordallo, K Brestnichki, M Hawasly, SV Penkov, ... IEEE Robotics and Automation Letters 5 (1), 1-7, 2019 | 13* | 2019 |
| Grounding of human environments and activities for autonomous robots M Alomari, P Duckworth, N Bore, M Hawasly, DC Hogg, AG Cohn IJCAI-17 Proceedings, 1395-1402, 2017 | 13 | 2017 |
| Lifelong Transfer Learning with an Option Hierarchy M Hawasly, S Ramamoorthy IROS 2013, International Conference on Intelligent Robots and Systems, Tokyo …, 2013 | 13 | 2013 |
| Lifelong learning of structure in the space of policies M Hawasly, S Ramamoorthy AAAI Spring Symposium on Lifelong Machine Learning, 2013 | 10 | 2013 |
| Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior? AR Srinivasan, YS Lin, M Antonello, A Knittel, M Hasan, M Hawasly, ... IEEE Transactions on Intelligent Transportation Systems 24 (7), 7166-7177, 2023 | 9 | 2023 |
| LLMeBench: A flexible framework for accelerating llms benchmarking F Dalvi, M Hasanain, S Boughorbel, B Mousi, S Abdaljalil, N Nazar, ... arXiv preprint arXiv:2308.04945, 2023 | 8 | 2023 |
| DiPA: Probabilistic multi-modal interactive prediction for autonomous driving A Knittel, M Hawasly, SV Albrecht, J Redford, S Ramamoorthy IEEE Robotics and Automation Letters 8 (8), 4887-4894, 2023 | 8 | 2023 |
| Driving scenarios for autonomous vehicles S Ramamoorthy, M Hawasly, F Eiras, M Antonello, S Lyons, R Sarkar US Patent App. 17/285,269, 2021 | 7 | 2021 |
| Learning hierarchical models of complex daily activities from annotated videos J Tayyub, M Hawasly, DC Hogg, AG Cohn 2018 IEEE winter conference on applications of computer vision (WACV), 1633-1641, 2018 | 5 | 2018 |
| CLAD: a complex and long activities dataset with rich crowdsourced annotations J Tayyub, M Hawasly, DC Hogg, AG Cohn arXiv preprint arXiv:1709.03456, 2017 | 5 | 2017 |
Subramanian RamamoorthyProfessor of Robot Learning and Autonomy, School of Informatics, University of Edinburgh在 ed.ac.uk 的电子邮件经过验证
