| 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 | 196 | 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 | 119 | 2016 |
| Ds++: A flexible, scalable and provably tight relaxation for matching problems N Dym, H Maron, Y Lipman arXiv preprint arXiv:1705.06148, 2017 | 61 | 2017 |
| On the universality of rotation equivariant point cloud networks N Dym, H Maron arXiv preprint arXiv:2010.02449, 2020 | 42 | 2020 |
| Exact recovery with symmetries for procrustes matching N Dym, Y Lipman SIAM Journal on Optimization 27 (3), 1513-1530, 2017 | 18 | 2017 |
| 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 | 15 | 2019 |
| Homotopic morphing of planar curves N Dym, A Shtengel, Y Lipman Computer Graphics Forum 34 (5), 239-251, 2015 | 14 | 2015 |
| Sinkhorn algorithm for lifted assignment problems Y Kushinsky, H Maron, N Dym, Y Lipman SIAM Journal on Imaging Sciences 12 (2), 716-735, 2019 | 12 | 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 | 10 | 2021 |
| 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 | 10 | 2018 |
| 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 | 8 | 2020 |
| 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 | 7 | 2022 |
| Linear variational principle for Riemann mappings and discrete conformality N Dym, R Slutsky, Y Lipman Proceedings of the National Academy of Sciences 116 (3), 732-737, 2019 | 7 | 2019 |
| Low Dimensional Invariant Embeddings for Universal Geometric Learning N Dym, SJ Gortler arXiv preprint arXiv:2205.02956, 2022 | 4 | 2022 |
| 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 | 3 | 2022 |
| Exact Recovery with Symmetries for the Doubly Stochastic Relaxation N Dym SIAM Journal on Applied Algebra and Geometry 2 (3), 462-488, 2018 | 1 | 2018 |
| Spatial recurrence for Ergodic fractal measures N Dym arXiv preprint arXiv:1602.02894, 2016 | 1 | 2016 |
| Complete Neural Networks for Euclidean Graphs S Hordan, T Amir, SJ Gortler, N Dym arXiv preprint arXiv:2301.13821, 2023 | | 2023 |
| Symmetrized Robust Procrustes: Constant-Factor Approximation and Exact Recovery T Amir, S Kovalsky, N Dym arXiv preprint arXiv:2207.08592, 2022 | | 2022 |
| Quasi Branch and Bound for Smooth Global Optimization N Dym arXiv preprint arXiv:2005.13728, 2020 | | 2020 |
