| Conceptfusion: Open-set multimodal 3d mapping KM Jatavallabhula, A Kuwajerwala, Q Gu, M Omama, T Chen, A Maalouf, ... Robotics: Science and Systems (RSS) 2023, 2023 | 154 | 2023 |
| Fast and accurate least-mean-squares solvers A Maalouf, I Jubran, D Feldman Advances in Neural Information Processing Systems (NeurIPS'19 Outstanding …, 2019 | 75* | 2019 |
| Coresets for near-convex functions M Tukan, A Maalouf, D Feldman Advances in Neural Information Processing Systems 33, 997-1009, 2020 | 50 | 2020 |
| Overview of accurate coresets I Jubran, A Maalouf, D Feldman Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1429, 2021 | 45* | 2021 |
| Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition L Liebenwein, A Maalouf, D Feldman, D Rus Advances in Neural Information Processing Systems 34, 2021 | 44 | 2021 |
| Sets clustering I Jubran, M Tukan, A Maalouf, D Feldman International Conference on Machine Learning, 4994-5005, 2020 | 26 | 2020 |
| Tight sensitivity bounds for smaller coresets A Maalouf, A Statman, D Feldman Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 24 | 2020 |
| No fine-tuning, no cry: Robust svd for compressing deep networks M Tukan, A Maalouf, M Weksler, D Feldman Sensors 21 (16), 5599, 2021 | 21* | 2021 |
| Drive anywhere: Generalizable end-to-end autonomous driving with multi-modal foundation models TH Wang, A Maalouf, W Xiao, Y Ban, A Amini, G Rosman, S Karaman, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6687-6694, 2024 | 17* | 2024 |
| Pruning neural networks via coresets and convex geometry: Towards no assumptions M Tukan, L Mualem, A Maalouf Advances in Neural Information Processing Systems 35, 2022 | 17 | 2022 |
| Coresets for the average case error for finite query sets A Maalouf, I Jubran, M Tukan, D Feldman Sensors 21 (19), 6689, 2021 | 17* | 2021 |
| A Unified Approach to Coreset Learning A Maalouf, G Eini, B Mussay, D Feldman, M Osadchy IEEE Transactions on Neural Networks and Learning Systems, 2022 | 14 | 2022 |
| Provably approximated point cloud registration I Jubran, A Maalouf, R Kimmel, D Feldman Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 12* | 2021 |
| Follow Anything: Open-Set Detection, Tracking, and Following in Real-Time A Maalouf, N Jadhav, KM Jatavallabhula, M Chahine, DM Vogt, RJ Wood, ... IEEE Robotics and Automation Letters 9 (4), 3283-3290, 2024 | 11 | 2024 |
| Deep Learning Meets Projective Clustering A Maalouf, H Lang, D Rus, D Feldman International Conference on Learning Representations (ICLR) 2021, 2021 | 11 | 2021 |
| Coresets for data discretization and sine wave fitting A Maalouf, M Tukan, E Price, DM Kane, D Feldman International Conference on Artificial Intelligence and Statistics, 10622-10639, 2022 | 10 | 2022 |
| Obstacle Aware Sampling for Path Planning M Tukan, A Maalouf, D Feldman, R Poranne 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 | 10* | 2022 |
| Fast and accurate least-mean-squares solvers for high dimensional data A Maalouf, I Jubran, D Feldman IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9977 …, 2022 | 10 | 2022 |
| Provable Data Subset Selection For Efficient Neural Network Training M Tukan, S Zhou, A Maalouf, D Rus, V Braverman, D Feldman International Conference on Machine Learning (2023), 2023 | 6 | 2023 |
| Deep Learning on Home Drone: Searching for the Optimal Architecture A Maalouf, Y Gurfinkel, B Diker, O Gal, D Rus, D Feldman 2023 IEEE International Conference on Robotics and Automation (ICRA), 8208-8215, 2023 | 5 | 2023 |
Dan FeldmanUniversity of HaifaVerified email at csail.mit.edu
