Alaa Maalouf

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 45

Top Topics

Subset Selection

Top Venues

Publications

Alaa Maalouf, Gilad Eini, Ben Mussay, Dan Feldman, Margarita Osadchy
A Unified Approach to Coreset Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. ICRA (2024)
Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus
Probing Multimodal LLMs as World Models for Driving. CoRR (2024)
Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula, Makram Chahine, Daniel M. Vogt, Robert J. Wood, Antonio Torralba, Daniela Rus
Open-Set Detection, Tracking, and Following in Real-Time. IEEE Robotics Autom. Lett. 9 (4) (2024)
Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman
Deep Learning on Home Drone: Searching for the Optimal Architecture. ICRA (2023)
Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus
AutoCoreset: An Automatic Practical Coreset Construction Framework. CoRR (2023)
Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman
Provable Data Subset Selection For Efficient Neural Network Training. CoRR (2023)
Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
On the Size and Approximation Error of Distilled Sets. CoRR (2023)
Murad Tukan, Alaa Maalouf, Margarita Osadchy
Dataset Distillation Meets Provable Subset Selection. CoRR (2023)
Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula, Makram Chahine, Daniel M. Vogt, Robert J. Wood, Antonio Torralba, Daniela Rus
Follow Anything: Open-set detection, tracking, and following in real-time. CoRR (2023)
Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman
Provable Data Subset Selection For Efficient Neural Networks Training. ICML (2023)
Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus
AutoCoreset: An Automatic Practical Coreset Construction Framework. ICML (2023)
Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. CoRR (2023)
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
ConceptFusion: Open-set multimodal 3D mapping. Robotics: Science and Systems (2023)
Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
On the Size and Approximation Error of Distilled Datasets. NeurIPS (2023)
Alaa Maalouf, Ibrahim Jubran, Dan Feldman
Fast and Accurate Least-Mean-Squares Solvers for High Dimensional Data. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Murad Tukan, Alaa Maalouf, Dan Feldman, Roi Poranne
Obstacle Aware Sampling for Path Planning. CoRR (2022)
Murad Tukan, Alaa Maalouf, Dan Feldman, Roi Poranne
Obstacle Aware Sampling for Path Planning. IROS (2022)
Alaa Maalouf, Murad Tukan, Eric Price, Daniel M. Kane, Dan Feldman
Coresets for Data Discretization and Sine Wave Fitting. AISTATS (2022)
Murad Tukan, Loay Mualem, Alaa Maalouf
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions. NeurIPS (2022)
Alaa Maalouf, Murad Tukan, Eric Price, Daniel Kane, Dan Feldman
Coresets for Data Discretization and Sine Wave Fitting. CoRR (2022)
Murad Tukan, Loay Mualem, Alaa Maalouf
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions. CoRR (2022)
Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman
Deep Learning on Home Drone: Searching for the Optimal Architecture. CoRR (2022)
Alaa Maalouf, Gilad Eini, Ben Mussay, Dan Feldman, Margarita Osadchy
A Unified Approach to Coreset Learning. CoRR (2021)
Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman
Deep Learning meets Projective Clustering. ICLR (2021)
Alaa Maalouf, Ibrahim Jubran, Murad Tukan, Dan Feldman
Coresets for the Average Case Error for Finite Query Sets. Sensors 21 (19) (2021)
Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman
Provably Approximated Point Cloud Registration. ICCV (2021)
Murad Tukan, Alaa Maalouf, Matan Weksler, Dan Feldman
No Fine-Tuning, No Cry: Robust SVD for Compressing Deep Networks. Sensors 21 (16) (2021)
Lucas Liebenwein, Alaa Maalouf, Dan Feldman, Daniela Rus
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition. NeurIPS (2021)
Lucas Liebenwein, Alaa Maalouf, Oren Gal, Dan Feldman, Daniela Rus
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition. CoRR (2021)
Alaa Maalouf, Ibrahim Jubran, Dan Feldman
Introduction to Coresets: Approximated Mean. CoRR (2021)
Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman
Provably Approximated ICP. CoRR (2021)
Ibrahim Jubran, Alaa Maalouf, Dan Feldman
Overview of accurate coresets. WIREs Data Mining Knowl. Discov. 11 (6) (2021)
Murad Tukan, Alaa Maalouf, Dan Feldman
Coresets for Near-Convex Functions. NeurIPS (2020)
Alaa Maalouf, Adiel Statman, Dan Feldman
Tight Sensitivity Bounds For Smaller Coresets. KDD (2020)
Murad Tukan, Alaa Maalouf, Matan Weksler, Dan Feldman
Compressed Deep Networks: Goodbye SVD, Hello Robust Low-Rank Approximation. CoRR (2020)
Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman
Sets Clustering. CoRR (2020)
Murad Tukan, Alaa Maalouf, Dan Feldman
Coresets for Near-Convex Functions. CoRR (2020)
Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman
Sets Clustering. ICML (2020)
Alaa Maalouf, Ibrahim Jubran, Murad Tukan, Dan Feldman
Faster PAC Learning and Smaller Coresets via Smoothed Analysis. CoRR (2020)
Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman
Deep Learning Meets Projective Clustering. CoRR (2020)
Ibrahim Jubran, Alaa Maalouf, Dan Feldman
Introduction to Coresets: Accurate Coresets. CoRR (2019)
Alaa Maalouf, Ibrahim Jubran, Dan Feldman
Fast and Accurate Least-Mean-Squares Solvers. CoRR (2019)
Alaa Maalouf, Ibrahim Jubran, Dan Feldman
Fast and Accurate Least-Mean-Squares Solvers. NeurIPS (2019)
Alaa Maalouf, Adiel Statman, Dan Feldman
Tight Sensitivity Bounds For Smaller Coresets. CoRR (2019)