| On convex relaxation of graph isomorphism Y Aflalo, A Bronstein, R Kimmel Proceedings of the National Academy of Sciences 112 (10), 2942-2947, 2015 | 114 | 2015 |
| Spectral multidimensional scaling Y Aflalo, R Kimmel Proceedings of the National Academy of Sciences 110 (45), 18052-18057, 2013 | 81 | 2013 |
| Spectral generalized multi-dimensional scaling Y Aflalo, A Dubrovina, R Kimmel International Journal of Computer Vision 118 (3), 380-392, 2016 | 67 | 2016 |
| On the optimality of shape and data representation in the spectral domain Y Aflalo, H Brezis, R Kimmel SIAM Journal on Imaging Sciences 8 (2), 1141-1160, 2015 | 64 | 2015 |
| Variable Sparsity Kernel Learning. J Aflalo, A Ben-Tal, C Bhattacharyya, JS Nath, S Raman, S Sonnenburg Journal of Machine Learning Research 12 (2), 2011 | 54 | 2011 |
| Scale invariant geometry for nonrigid shapes Y Aflalo, R Kimmel, D Raviv SIAM Journal on Imaging Sciences 6 (3), 1579-1597, 2013 | 35 | 2013 |
| Computational caricaturization of surfaces M Sela, Y Aflalo, R Kimmel Computer Vision and Image Understanding 141, 1-17, 2015 | 29 | 2015 |
| Deformable shape retrieval by learning diffusion kernels Y Aflalo, AM Bronstein, MM Bronstein, R Kimmel International Conference on Scale Space and Variational Methods in Computer …, 2011 | 26 | 2011 |
| Graph matching: relax or not? Y Aflalo, A Bronstein, R Kimmel arXiv preprint arXiv:1401.7623, 2014 | 20 | 2014 |
| Knapsack pruning with inner distillation Y Aflalo, A Noy, M Lin, I Friedman, L Zelnik arXiv preprint arXiv:2002.08258, 2020 | 19 | 2020 |
| The Laplace-Beltrami operator: a ubiquitous tool for image and shape processing A Wetzler, Y Aflalo, A Dubrovina, R Kimmel International Symposium on Mathematical Morphology and Its Applications to …, 2013 | 19 | 2013 |
| Conformal mapping with as uniform as possible conformal factor Y Aflalo, R Kimmel, M Zibulevsky SIAM Journal on Imaging Sciences 6 (1), 78-101, 2013 | 15 | 2013 |
| Best bases for signal spaces Y Aflalo, H Brezis, A Bruckstein, R Kimmel, N Sochen Comptes Rendus Mathematique 354 (12), 1155-1167, 2016 | 12 | 2016 |
| Classical scaling revisited G Shamai, Y Aflalo, M Zibulevsky, R Kimmel Proceedings of the IEEE International Conference on Computer Vision, 2255-2263, 2015 | 12 | 2015 |
| HardCoRe-NAS: Hard constrained diffeRentiable neural architecture search N Nayman, Y Aflalo, A Noy, L Zelnik International Conference on Machine Learning, 7979-7990, 2021 | 7 | 2021 |
| Audio-based caricature exaggeration M Sela, Y Aflalo, R Kimmel US Patent 9,818,216, 2017 | 5 | 2017 |
| Regularized principal component analysis Y Aflalo, R Kimmel Chinese Annals of Mathematics, Series B 38 (1), 1-12, 2017 | 5 | 2017 |
| A convergence theory towards practical over-parameterized deep neural networks A Noy, Y Xu, Y Aflalo, L Zelnik-Manor, R Jin arXiv preprint arXiv:2101.04243, 2021 | 3 | 2021 |
| Method and system for reducing data dimensionality R Kimmel, Y Aflalo US Patent App. 14/480,720, 2015 | 3 | 2015 |
| Computable invariants for curves and surfaces O Halimi, D Raviv, Y Aflalo, R Kimmel Handbook of Numerical Analysis 20, 273-314, 2019 | 2 | 2019 |
Ron KimmelMontreal Chair Professor of Computer Science (& ECE), Technion, IsraelVerified email at cs.technion.ac.il
