Alaa Maalouf - RankMe

56 papers A* 14A 2Journal 38Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Autonomous Sea Turtle Robot for Marine Fieldwork. CoRR Zach J. Patterson, Emily R. Sologuren, Levi Cai, Daniel Kim, Alaa Maalouf, Pascal Spino, Daniela Rus
2026	J	`jnl`	Flex: End-to-End Text-Instructed Visual Navigation From Foundation Model Features. IEEE Robotics Autom. Lett. Makram Chahine, Alex Quach, Alaa Maalouf, Tsun-Hsuan Wang, Daniela Rus
2026	J	`jnl`	Robustness Is a Function, Not a Number: A Factorized Comprehensive Study of OOD Robustness in Vision-Based Driving. CoRR Amir Mallak, Alaa Maalouf
2026	J	`jnl`	See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selection. CoRR Amir Mallak, Erfan Aasi, Shiva Sreeram, Tsun-Hsuan Wang, Daniela Rus, Alaa Maalouf
2025	J	`jnl`	Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples. CoRR Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma, Daniela Rus
2025	J	`jnl`	DataS^3: Dataset Subset Selection for Specialization. CoRR Neha Hulkund, Alaa Maalouf, Levi Cai, Daniel Yang, Tsun-Hsuan Wang, Abigail O'Neil, Timm Haucke, Sandeep Mukherjee, Vikram Ramaswamy, Judy Hansen Shen, Gabriel Tseng, Mike Walmsley, Daniela Rus, Ken Goldberg, Hannah Kerner, Irene Chen, Yogesh A. Girdhar, Sara Beery
2025	J	`jnl`	Decentralized Vision-Based Autonomous Aerial Wildlife Monitoring. CoRR Makram Chahine, William Yang, Alaa Maalouf, Justin Siriska, Ninad Jadhav, Daniel M. Vogt, Stephanie Gil, Robert J. Wood, Daniela Rus
2025	J	`jnl`	Probing Multimodal LLMs as World Models for Driving. IEEE Robotics Autom. Lett. Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus
2025	J	`jnl`	Prompts to Summaries: Zero-Shot Language-Guided Video Summarization. CoRR Mario Barbara, Alaa Maalouf
2024	J	`jnl`	A Unified Approach to Coreset Learning. IEEE Trans. Neural Networks Learn. Syst. Alaa Maalouf, Gilad Eini, Ben Mussay, Dan Feldman, Margarita Osadchy
2024	A*	`conf`	Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. ICRA Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
2024	J	`jnl`	Flex: End-to-End Text-Instructed Visual Navigation with Foundation Models. CoRR Makram Chahine, Alex Quach, Alaa Maalouf, Tsun-Hsuan Wang, Daniela Rus
2024	A*	`conf`	Large Scale Dataset Distillation with Domain Shift. ICML Noel Loo, Alaa Maalouf, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus
2024	J	`jnl`	Probing Multimodal LLMs as World Models for Driving. CoRR Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus
2023	A*	`conf`	AutoCoreset: An Automatic Practical Coreset Construction Framework. ICML Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus
2023	J	`jnl`	AutoCoreset: An Automatic Practical Coreset Construction Framework. CoRR Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus
2023	—	`conf`	ConceptFusion: Open-set multimodal 3D mapping. Robotics: Science and Systems Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Ganesh Iyer, Soroush Saryazdi, Tao Chen, Alaa Maalouf, Shuang Li, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba
2023	J	`jnl`	Dataset Distillation Meets Provable Subset Selection. CoRR Murad Tukan, Alaa Maalouf, Margarita Osadchy
2023	A*	`conf`	Deep Learning on Home Drone: Searching for the Optimal Architecture. ICRA Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman
2023	J	`jnl`	Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. CoRR Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
2023	J	`jnl`	Follow Anything: Open-set detection, tracking, and following in real-time. CoRR Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula, Makram Chahine, Daniel M. Vogt, Robert J. Wood, Antonio Torralba, Daniela Rus
2023	A*	`conf`	On the Size and Approximation Error of Distilled Datasets. NeurIPS Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2023	J	`jnl`	On the Size and Approximation Error of Distilled Sets. CoRR Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
2023	J	`jnl`	Provable Data Subset Selection For Efficient Neural Network Training. CoRR Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman
2023	A*	`conf`	Provable Data Subset Selection For Efficient Neural Networks Training. ICML Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman
2022	A	`conf`	Coresets for Data Discretization and Sine Wave Fitting. AISTATS Alaa Maalouf, Murad Tukan, Eric Price, Daniel M. Kane, Dan Feldman
2022	J	`jnl`	Coresets for Data Discretization and Sine Wave Fitting. CoRR Alaa Maalouf, Murad Tukan, Eric Price, Daniel Kane, Dan Feldman
2022	J	`jnl`	Deep Learning on Home Drone: Searching for the Optimal Architecture. CoRR Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman
2022	J	`jnl`	Fast and Accurate Least-Mean-Squares Solvers for High Dimensional Data. IEEE Trans. Pattern Anal. Mach. Intell. Alaa Maalouf, Ibrahim Jubran, Dan Feldman
2022	—	`—`	MDL-BOOST: Constructing Efficient Machine/Deep Learning Systems via Data and Model Compression. Alaa Maalouf
2022	A	`conf`	Obstacle Aware Sampling for Path Planning. IROS Murad Tukan, Alaa Maalouf, Dan Feldman, Roi Poranne
2022	J	`jnl`	Obstacle Aware Sampling for Path Planning. CoRR Murad Tukan, Alaa Maalouf, Dan Feldman, Roi Poranne
2022	A*	`conf`	Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions. NeurIPS Murad Tukan, Loay Mualem, Alaa Maalouf
2022	J	`jnl`	Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions. CoRR Murad Tukan, Loay Mualem, Alaa Maalouf
2021	J	`jnl`	A Unified Approach to Coreset Learning. CoRR Alaa Maalouf, Gilad Eini, Ben Mussay, Dan Feldman, Margarita Osadchy
2021	A*	`conf`	Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition. NeurIPS Lucas Liebenwein, Alaa Maalouf, Dan Feldman, Daniela Rus
2021	J	`jnl`	Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition. CoRR Lucas Liebenwein, Alaa Maalouf, Oren Gal, Dan Feldman, Daniela Rus
2021	J	`jnl`	Coresets for the Average Case Error for Finite Query Sets. Sensors Alaa Maalouf, Ibrahim Jubran, Murad Tukan, Dan Feldman
2021	A*	`conf`	Deep Learning meets Projective Clustering. ICLR Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman
2021	J	`jnl`	Introduction to Coresets: Approximated Mean. CoRR Alaa Maalouf, Ibrahim Jubran, Dan Feldman
2021	J	`jnl`	No Fine-Tuning, No Cry: Robust SVD for Compressing Deep Networks. Sensors Murad Tukan, Alaa Maalouf, Matan Weksler, Dan Feldman
2021	J	`jnl`	Overview of accurate coresets. WIREs Data Mining Knowl. Discov. Ibrahim Jubran, Alaa Maalouf, Dan Feldman
2021	J	`jnl`	Provably Approximated ICP. CoRR Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman
2021	A*	`conf`	Provably Approximated Point Cloud Registration. ICCV Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman
2020	J	`jnl`	Compressed Deep Networks: Goodbye SVD, Hello Robust Low-Rank Approximation. CoRR Murad Tukan, Alaa Maalouf, Matan Weksler, Dan Feldman
2020	A*	`conf`	Coresets for Near-Convex Functions. NeurIPS Murad Tukan, Alaa Maalouf, Dan Feldman
2020	J	`jnl`	Coresets for Near-Convex Functions. CoRR Murad Tukan, Alaa Maalouf, Dan Feldman
2020	J	`jnl`	Deep Learning Meets Projective Clustering. CoRR Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman
2020	J	`jnl`	Faster PAC Learning and Smaller Coresets via Smoothed Analysis. CoRR Alaa Maalouf, Ibrahim Jubran, Murad Tukan, Dan Feldman
2020	A*	`conf`	Sets Clustering. ICML Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman
2020	J	`jnl`	Sets Clustering. CoRR Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman
2020	A*	`conf`	Tight Sensitivity Bounds For Smaller Coresets. KDD Alaa Maalouf, Adiel Statman, Dan Feldman
2019	A*	`conf`	Fast and Accurate Least-Mean-Squares Solvers. NeurIPS Alaa Maalouf, Ibrahim Jubran, Dan Feldman
2019	J	`jnl`	Fast and Accurate Least-Mean-Squares Solvers. CoRR Alaa Maalouf, Ibrahim Jubran, Dan Feldman
2019	J	`jnl`	Introduction to Coresets: Accurate Coresets. CoRR Ibrahim Jubran, Alaa Maalouf, Dan Feldman
2019	J	`jnl`	Tight Sensitivity Bounds For Smaller Coresets. CoRR Alaa Maalouf, Adiel Statman, Dan Feldman