| Coresets for near-convex functions M Tukan, A Maalouf, D Feldman Advances in Neural Information Processing Systems 33, 997-1009, 2020 | 45 | 2020 |
| On coresets for support vector machines M Tukan, C Baykal, D Feldman, D Rus Theoretical Computer Science 890, 171-191, 2021 | 44 | 2021 |
| Sets clustering I Jubran, M Tukan, A Maalouf, D Feldman International Conference on Machine Learning, 4994-5005, 2020 | 25 | 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 | 19* | 2021 |
| New coresets for projective clustering and applications M Tukan, X Wu, S Zhou, V Braverman, D Feldman International Conference on Artificial Intelligence and Statistics, 5391-5415, 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 |
| Pruning neural networks via coresets and convex geometry: Towards no assumptions M Tukan, L Mualem, A Maalouf Advances in Neural Information Processing Systems 35, 38003-38019, 2022 | 15 | 2022 |
| 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 …, 2022 | 7 | 2022 |
| An efficient drifters deployment strategy to evaluate water current velocity fields M Tukan, E Biton, R Diamant arXiv preprint arXiv:2301.04216, 2023 | 6 | 2023 |
| Provable data subset selection for efficient neural networks training M Tukan, S Zhou, A Maalouf, D Rus, V Braverman, D Feldman International Conference on Machine Learning, 34533-34555, 2023 | 5 | 2023 |
| Autocoreset: An automatic practical coreset construction framework A Maalouf, M Tukan, V Braverman, D Rus International Conference on Machine Learning, 23451-23466, 2023 | 3 | 2023 |
| ORBSLAM3-Enhanced Autonomous Toy Drones: Pioneering Indoor Exploration M Tukan, F Fares, Y Grufinkle, I Talmor, L Mualem, V Braverman, ... arXiv preprint arXiv:2312.13385, 2023 | 1 | 2023 |
| Dataset Distillation Meets Provable Subset Selection M Tukan, A Maalouf, M Osadchy arXiv preprint arXiv:2307.08086, 2023 | 1 | 2023 |
| On the Size and Approximation Error of Distilled Datasets A Maalouf, M Tukan, N Loo, R Hasani, M Lechner, D Rus Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Bridging the Gap Between General and Down-Closed Convex Sets in Submodular Maximization L Mualem, M Tukan, M Fledman arXiv preprint arXiv:2401.09251, 2024 | | 2024 |
| Coreset Construction Frameworks for Machine Learning Models M Tukan PQDT-Global, 2022 | | 2022 |
| A Unified Framework for Core-set Construction of Convex Functions M Tukan PQDT-Global, 2017 | | 2017 |
Dan FeldmanUniversity of HaifaVerified email at csail.mit.edu
