Lifelong Learning of Structure in the Space of Policies. - Majd Hawasly; Subramanian Ramamoorthy (AAAI Spring Symposium: Lifelong Machine Learning, 2013)

Lifelong transfer learning with an option hierarchy. - Majd Hawasly; Subramanian Ramamoorthy (IROS, 2013)

Clustering Markov Decision Processes For Continual Transfer. - M. M. Hassan Mahmud; Majd Hawasly; Benjamin Rosman; Subramanian Ramamoorthy (CoRR, 2013)

Multiscale Topological Trajectory Classification with Persistent Homology. - Florian T. Pokorny; Majd Hawasly; Subramanian Ramamoorthy (Robotics: Science and Systems, 2014)

Estimating Activity at Multiple Scales using Spatial Abstractions. - Majd Hawasly; Florian T. Pokorny; Subramanian Ramamoorthy (CoRR, 2016)

Topological trajectory classification with filtrations of simplicial complexes and persistent homology. - Florian T. Pokorny; Majd Hawasly; Subramanian Ramamoorthy (Int. J. Robotics Res., 2016)

Bayesian policy reuse. - Benjamin Rosman; Majd Hawasly; Subramanian Ramamoorthy (Mach. Learn., 2016)

Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands. - Muhannad Al-Omari; Paul Duckworth; Majd Hawasly; David C. Hogg; Anthony G. Cohn 001 (RoboNLP@ACL, 2017)

Multi-scale Activity Estimation with Spatial Abstractions. - Majd Hawasly; Florian T. Pokorny; Subramanian Ramamoorthy (GSI, 2017)

Grounding of Human Environments and Activities for Autonomous Robots. - Muhannad Al-Omari; Paul Duckworth; Nils Bore; Majd Hawasly; David C. Hogg; Anthony G. Cohn 001 (IJCAI, 2017)

CLAD: A Complex and Long Activities Dataset with Rich Crowdsourced Annotations. - Jawad Tayyub; Majd Hawasly; David C. Hogg; Anthony G. Cohn 001 (CoRR, 2017)

Learning Hierarchical Models of Complex Daily Activities from Annotated Videos. - Jawad Tayyub; Majd Hawasly; David C. Hogg; Anthony G. Cohn 001 (WACV, 2018)

Efficient Computation of Collision Probabilities for Safe Motion Planning. - Andrew Blake 004; Alejandro Bordallo; Majd Hawasly; Svetlin Penkov; Subramanian Ramamoorthy; Alexandre Silva (CoRR, 2018)

PaRoT: A Practical Framework for Robust Deep Neural Network Training. - Edward W. Ayers; Francisco Eiras; Majd Hawasly; Iain Whiteside (NFM, 2020)

A Two-Stage Optimization Approach to Safe-by-Design Planning for Autonomous Driving. - Francisco Eiras; Majd Hawasly; Stefano V. Albrecht; Subramanian Ramamoorthy (CoRR, 2020)

FPR - Fast Path Risk Algorithm to Evaluate Collision Probability. - Andrew Blake 004; Alejandro Bordallo; Kamen Brestnichki; Majd Hawasly; Svetlin Valentinov Penkov; Subramanian Ramamoorthy; Alexandre Silva (IEEE Robotics Autom. Lett., 2020)

PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. - Henry Pulver; Francisco Eiras; Ludovico Carozza; Majd Hawasly; Stefano V. Albrecht; Subramanian Ramamoorthy (IROS, 2021)

Perspectives on the system-level design of a safe autonomous driving stack. - Majd Hawasly; Jonathan Sadeghi; Morris Antonello; Stefano V. Albrecht; John Redford; Subramanian Ramamoorthy (AI Commun., 2022)

DiPA: Diverse and Probabilistically Accurate Interactive Prediction. - Anthony Knittel; Majd Hawasly; Stefano V. Albrecht; John Redford; Subramanian Ramamoorthy (CoRR, 2022)

A Two-Stage Optimization-Based Motion Planner for Safe Urban Driving. - Francisco Eiras; Majd Hawasly; Stefano V. Albrecht; Subramanian Ramamoorthy (IEEE Trans. Robotics, 2022)

Analyzing Multilingual Competency of LLMs in Multi-Turn Instruction Following: A Case Study of Arabic. - Sabri Boughorbel; Majd Hawasly (ArabicNLP, 2023)

Benchmarking Arabic AI with Large Language Models. - Ahmed Abdelali; Hamdy Mubarak; Shammur Absar Chowdhury; Maram Hasanain; Basel Mousi; Sabri Boughorbel; Yassine El Kheir; Daniel Izham; Fahim Dalvi; Majd Hawasly; Nizi Nazar; Yousseif Elshahawy; et al. (CoRR, 2023)

LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking. - Fahim Dalvi; Maram Hasanain; Sabri Boughorbel; Basel Mousi; Samir Abdaljalil; Nizi Nazar; Ahmed Abdelali; Shammur Absar Chowdhury; Hamdy Mubarak; Ahmed Ali 002; Majd Hawasly; Nadir Durrani; et al. (CoRR, 2023)

Scaled-up Discovery of Latent Concepts in Deep NLP Models. - Majd Hawasly; Fahim Dalvi; Nadir Durrani (CoRR, 2023)

DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous Driving. - Anthony Knittel; Majd Hawasly; Stefano V. Albrecht; John Redford; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2023)

Beyond RMSE: Do Machine-Learned Models of Road User Interaction Produce Human-Like Behavior? - Aravinda Ramakrishnan Srinivasan; Yi-Shin Lin; Morris Antonello; Anthony Knittel; Mohamed Hasan; Majd Hawasly; John Redford; Subramanian Ramamoorthy; Matteo Leonetti; Jac Billington; Richard Romano; Gustav Markkula (IEEE Trans. Intell. Transp. Syst., 2023)

Exploring Alignment in Shared Cross-lingual Spaces. - Basel Mousi; Nadir Durrani; Fahim Dalvi; Majd Hawasly; Ahmed Abdelali (ACL (1), 2024)

LAraBench: Benchmarking Arabic AI with Large Language Models. - Ahmed Abdelali; Hamdy Mubarak; Shammur Absar Chowdhury; Maram Hasanain; Basel Mousi; Sabri Boughorbel; Samir Abdaljalil; Yassine El Kheir; Daniel Izham; Fahim Dalvi; Majd Hawasly; Nizi Nazar; et al. (EACL (1), 2024)

Scaling up Discovery of Latent Concepts in Deep NLP Models. - Majd Hawasly; Fahim Dalvi; Nadir Durrani (EACL (1), 2024)

Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning Analysis. - Sabri Boughorbel; Md. Rizwan Parvez; Majd Hawasly (ArabicNLP, 2024)

Improving Language Models Trained with Translated Data via Continual Pre-Training and Dictionary Learning Analysis. - Sabri Boughorbel; Md. Rizwan Parvez; Majd Hawasly (CoRR, 2024)

Fanar: An Arabic-Centric Multimodal Generative AI Platform. - Ummar Abbas; Mohammad Shahmeer Ahmad; Firoj Alam; Enes Altinisik; Ehsannedin Asgari; Yazan Boshmaf; Sabri Boughorbel; Sanjay Chawla; Shammur A. Chowdhury; Fahim Dalvi; Kareem Darwish; Nadir Durrani; et al. (CoRR, 2025)