| Convolutional neural networks on surfaces via seamless toric covers. H Maron, M Galun, N Aigerman, M Trope, N Dym, E Yumer, VG Kim, ... ACM Trans. Graph. 36 (4), 71:1-71:10, 2017 | 270 | 2017 |
| Point registration via efficient convex relaxation H Maron, N Dym, I Kezurer, S Kovalsky, Y Lipman ACM Transactions on Graphics (TOG) 35 (4), 1-12, 2016 | 163 | 2016 |
| On the universality of rotation equivariant point cloud networks N Dym, H Maron arXiv preprint arXiv:2010.02449, 2020 | 100 | 2020 |
| Ds++: A flexible, scalable and provably tight relaxation for matching problems N Dym, H Maron, Y Lipman arXiv preprint arXiv:1705.06148, 2017 | 83 | 2017 |
| Low-dimensional invariant embeddings for universal geometric learning N Dym, SJ Gortler Foundations of Computational Mathematics, 1-41, 2024 | 45 | 2024 |
| Neural injective functions for multisets, measures and graphs via a finite witness theorem T Amir, S Gortler, I Avni, R Ravina, N Dym Advances in Neural Information Processing Systems 36, 42516-42551, 2023 | 23 | 2023 |
| Sinkhorn algorithm for lifted assignment problems Y Kushinsky, H Maron, N Dym, Y Lipman SIAM Journal on Imaging Sciences 12 (2), 716-735, 2019 | 23 | 2019 |
| Stable phase retrieval from locally stable and conditionally connected measurements C Cheng, I Daubechies, N Dym, J Lu Applied and Computational Harmonic Analysis 55, 440-465, 2021 | 21 | 2021 |
| Exact recovery with symmetries for procrustes matching N Dym, Y Lipman SIAM Journal on Optimization 27 (3), 1513-1530, 2017 | 20 | 2017 |
| Equivariant frames and the impossibility of continuous canonicalization N Dym, H Lawrence, JW Siegel arXiv preprint arXiv:2402.16077, 2024 | 16 | 2024 |
| A simple and universal rotation equivariant point-cloud network B Finkelshtein, C Baskin, H Maron, N Dym Topological, Algebraic and Geometric Learning Workshops 2022, 107-115, 2022 | 16 | 2022 |
| Linearly converging quasi branch and bound algorithms for global rigid registration N Dym, SZ Kovalsky Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 16 | 2019 |
| Expression of fractals through neural network functions N Dym, B Sober, I Daubechies IEEE Journal on Selected Areas in Information Theory 1 (1), 57-66, 2020 | 15 | 2020 |
| Robust optimization for topological surface reconstruction R Lazar, N Dym, Y Kushinsky, Z Huang, T Ju, Y Lipman ACM Transactions on Graphics (TOG) 37 (4), 1-10, 2018 | 15 | 2018 |
| Homotopic morphing of planar curves N Dym, A Shtengel, Y Lipman Computer Graphics Forum 34 (5), 239-251, 2015 | 15 | 2015 |
| Neural network approximation of refinable functions I Daubechies, R DeVore, N Dym, S Faigenbaum-Golovin, SZ Kovalsky, ... IEEE Transactions on Information Theory 69 (1), 482-495, 2022 | 14 | 2022 |
| Equivariant deep weight space alignment A Navon, A Shamsian, E Fetaya, G Chechik, N Dym, H Maron arXiv preprint arXiv:2310.13397, 2023 | 13 | 2023 |
| Complete neural networks for euclidean graphs S Hordan, T Amir, SJ Gortler, N Dym arXiv e-prints, arXiv: 2301.13821, 2023 | 12 | 2023 |
| Position: Future directions in the theory of graph machine learning C Morris, F Frasca, N Dym, H Maron, II Ceylan, R Levie, D Lim, ... Forty-first International Conference on Machine Learning, 2024 | 10 | 2024 |
| Complete neural networks for complete euclidean graphs S Hordan, T Amir, SJ Gortler, N Dym Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12482 …, 2024 | 9 | 2024 |