Majd Hawasly
Majd Hawasly
QCRI, Hamad Bin Khalifa University
Verified email at
Cited by
Cited by
Bayesian policy reuse
B Rosman, M Hawasly, S Ramamoorthy
Machine Learning 104, 99-127, 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
Multiscale Topological Trajectory Classification with Persistent Homology
FT Pokorny, M Hawasly, S Ramamoorthy
Robotics: Science and Systems X, 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
Clustering markov decision processes for continual transfer
MM Mahmud, M Hawasly, B Rosman, S Ramamoorthy
arXiv preprint arXiv:1311.3959, 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
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
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
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
Benchmarking arabic ai with large language models
A Abdelali, H Mubarak, SA Chowdhury, M Hasanain, B Mousi, ...
arXiv preprint arXiv:2305.14982, 2023
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
Lifelong Transfer Learning with an Option Hierarchy
M Hawasly, S Ramamoorthy
IROS 2013, International Conference on Intelligent Robots and Systems, Tokyo …, 2013
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
Lifelong learning of structure in the space of policies
M Hawasly, S Ramamoorthy
AAAI Spring Symposium on Lifelong Machine Learning, 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, 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, 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
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
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
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
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