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Ibrahim Jubran
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2020 – today
- 2022
- [b1]Ibrahim Jubran:
Computational Geometry for Machine Learning and Computer Vision: Practical Provable Approximations. University of Haifa, Israel, 2022 - [j5]Alaa Maalouf
, Ibrahim Jubran
Fast and Accurate Least-Mean-Squares Solvers for High Dimensional Data. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9977-9994 (2022) - [j4]Ibrahim Jubran
Aligning Points to Lines: Provable Approximations. IEEE Trans. Knowl. Data Eng. 34(1): 138-149 (2022) - [c9]Ron Slossberg, Ibrahim Jubran, Ron Kimmel:
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction. ECCV (13) 2022: 212-229 - [c8]Elad Tolochinsky, Ibrahim Jubran, Dan Feldman:
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more. ICML 2022: 21520-21547 - [c7]Ibrahim Jubran, Fares Fares, Yuval Alfassi, Firas Ayoub, Dan Feldman:
Newton-PnP: Real-time Visual Navigation for Autonomous Toy-Drones. IROS 2022: 13363-13370 - [i12]Ibrahim Jubran, Fares Fares, Yuval Alfassi, Firas Ayoub, Dan Feldman:
Newton-PnP: Real-time Visual Navigation for Autonomous Toy-Drones. CoRR abs/2203.02686 (2022) - 2021
- [j3]Alaa Maalouf, Ibrahim Jubran, Murad Tukan, Dan Feldman
Coresets for the Average Case Error for Finite Query Sets. Sensors 21(19): 6689 (2021) - [j2]Ibrahim Jubran
Overview of accurate coresets. WIREs Data Mining Knowl. Discov. 11(6) (2021) - [c6]Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman:
Provably Approximated Point Cloud Registration. ICCV 2021: 13249-13258 - [c5]Ibrahim Jubran, Moshiko Raboh, Shaked Perek, David Gruen, Efrat Hexter:
A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms. SASHIMI@MICCAI 2021: 34-43 - [c4]Ibrahim Jubran, Ernesto Evgeniy Sanches Shayda, Ilan Newman, Dan Feldman:
Coresets for Decision Trees of Signals. NeurIPS 2021: 30352-30364 - [i11]Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman:
Provably Approximated ICP. CoRR abs/2101.03588 (2021) - [i10]Ibrahim Jubran, Ernesto Evgeniy Sanches Shayda, Ilan Newman, Dan Feldman:
Coresets for Decision Trees of Signals. CoRR abs/2110.03195 (2021) - [i9]Ron Slossberg, Ibrahim Jubran, Ron Kimmel:
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction. CoRR abs/2110.04760 (2021) - [i8]Alaa Maalouf, Ibrahim Jubran, Dan Feldman:
Introduction to Coresets: Approximated Mean. CoRR abs/2111.03046 (2021) - 2020
- [j1]Soliman Nasser, Ibrahim Jubran, Dan Feldman
Autonomous Toy Drone via Coresets for Pose Estimation. Sensors 20(11): 3042 (2020) - [c3]Roman Rabinovich, Ibrahim Jubran, Aaron Wetzler, Ron Kimmel:
CoBe - Coded Beacons for Localization, Object Tracking, and SLAM Augmentation. CASE 2020: 1367-1374 - [c2]Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman:
Sets Clustering. ICML 2020: 4994-5005 - [i7]Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman:
Sets Clustering. CoRR abs/2003.04135 (2020) - [i6]Alaa Maalouf, Ibrahim Jubran, Murad Tukan, Dan Feldman:
Faster PAC Learning and Smaller Coresets via Smoothed Analysis. CoRR abs/2006.05441 (2020)
2010 – 2019
- 2019
- [c1]Alaa Maalouf, Ibrahim Jubran, Dan Feldman:
Fast and Accurate Least-Mean-Squares Solvers. NeurIPS 2019: 8305-8316 - [i5]Ibrahim Jubran, David Cohn, Dan Feldman:
Provable Approximations for Constrained $\ell_p$ Regression. CoRR abs/1902.10407 (2019) - [i4]Alaa Maalouf, Ibrahim Jubran, Dan Feldman:
Fast and Accurate Least-Mean-Squares Solvers. CoRR abs/1906.04705 (2019) - [i3]Ibrahim Jubran, Alaa Maalouf, Dan Feldman:
Introduction to Coresets: Accurate Coresets. CoRR abs/1910.08707 (2019) - 2018
- [i2]Ibrahim Jubran, Dan Feldman:
Minimizing Sum of Non-Convex but Piecewise log-Lipschitz Functions using Coresets. CoRR abs/1807.08446 (2018) - 2015
- [i1]Soliman Nasser, Ibrahim Jubran, Dan Feldman:
Low-cost and Faster Tracking Systems Using Core-sets for Pose-Estimation. CoRR abs/1511.09120 (2015)
Coauthor Index
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