nadav dym
nadav dym
Senior Lecturer at Technion
Verified email at - Homepage
Cited by
Cited by
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
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
Ds++: A flexible, scalable and provably tight relaxation for matching problems
N Dym, H Maron, Y Lipman
arXiv preprint arXiv:1705.06148, 2017
On the universality of rotation equivariant point cloud networks
N Dym, H Maron
arXiv preprint arXiv:2010.02449, 2020
Exact recovery with symmetries for procrustes matching
N Dym, Y Lipman
SIAM Journal on Optimization 27 (3), 1513-1530, 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
Homotopic morphing of planar curves
N Dym, A Shtengel, Y Lipman
Computer Graphics Forum 34 (5), 239-251, 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
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
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
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
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
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
Low Dimensional Invariant Embeddings for Universal Geometric Learning
N Dym, SJ Gortler
arXiv preprint arXiv:2205.02956, 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
Exact Recovery with Symmetries for the Doubly Stochastic Relaxation
N Dym
SIAM Journal on Applied Algebra and Geometry 2 (3), 462-488, 2018
Spatial recurrence for Ergodic fractal measures
N Dym
arXiv preprint arXiv:1602.02894, 2016
Complete Neural Networks for Euclidean Graphs
S Hordan, T Amir, SJ Gortler, N Dym
arXiv preprint arXiv:2301.13821, 2023
Symmetrized Robust Procrustes: Constant-Factor Approximation and Exact Recovery
T Amir, S Kovalsky, N Dym
arXiv preprint arXiv:2207.08592, 2022
Quasi Branch and Bound for Smooth Global Optimization
N Dym
arXiv preprint arXiv:2005.13728, 2020
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