Nadav Dym

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 35

Top Topics

Branch And Bound

Surface Reconstruction

Top Venues

ACM Trans. Graph.

IEEE Trans. Inf. Theory

Publications

Nadav Dym, Hannah Lawrence, Jonathan W. Siegel
Equivariant Frames and the Impossibility of Continuous Canonicalization. CoRR (2024)
Snir Hordan, Tal Amir, Steven J. Gortler, Nadav Dym
Complete Neural Networks for Complete Euclidean Graphs. AAAI (2024)
Yair Davidson, Nadav Dym
On the Hölder Stability of Multiset and Graph Neural Networks. CoRR (2024)
Yonatan Sverdlov, Nadav Dym
On the Expressive Power of Sparse Geometric MPNNs. CoRR (2024)
Tamir Bendory, Nadav Dym, Dan Edidin, Arun Suresh
A transversality theorem for semi-algebraic sets with application to signal recovery from the second moment and cryo-EM. CoRR (2024)
Tal Amir, Nadav Dym
Injective Sliced-Wasserstein embedding for weighted sets and point clouds. CoRR (2024)
Christopher Morris, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Fabrizio Frasca, Ron Levie, Derek Lim, Michael Bronstein, Martin Grohe, Stefanie Jegelka
Future Directions in Foundations of Graph Machine Learning. CoRR (2024)
Snir Hordan, Tal Amir, Nadav Dym
Weisfeiler Leman for Euclidean Equivariant Machine Learning. CoRR (2024)
Tal Amir, Steven J. Gortler, Ilai Avni, Ravina Ravina, Nadav Dym
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem. CoRR (2023)
Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober
Neural Network Approximation of Refinable Functions. IEEE Trans. Inf. Theory 69 (1) (2023)
Tal Amir, Steven J. Gortler, Ilai Avni, Ravina Ravina, Nadav Dym
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem. NeurIPS (2023)
Tamir Bendory, Nadav Dym, Dan Edidin, Arun Suresh
Phase retrieval with semi-algebraic and ReLU neural network priors. CoRR (2023)
Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron
Equivariant Deep Weight Space Alignment. CoRR (2023)
Snir Hordan, Tal Amir, Steven J. Gortler, Nadav Dym
Complete Neural Networks for Euclidean Graphs. CoRR (2023)
Tal Amir, Shahar Z. Kovalsky, Nadav Dym
Symmetrized Robust Procrustes: Constant-Factor Approximation and Exact Recovery. CoRR (2022)
Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym
A Simple and Universal Rotation Equivariant Point-Cloud Network. TAG-ML (2022)
Nadav Dym, Steven J. Gortler
Low Dimensional Invariant Embeddings for Universal Geometric Learning. CoRR (2022)
Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym
A Simple and Universal Rotation Equivariant Point-cloud Network. CoRR (2022)
Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober
Neural Network Approximation of Refinable Functions. CoRR (2021)
Nadav Dym, Haggai Maron
On the Universality of Rotation Equivariant Point Cloud Networks. ICLR (2021)
Nadav Dym, Haggai Maron
On the Universality of Rotation Equivariant Point Cloud Networks. CoRR (2020)
Cheng Cheng, Ingrid Daubechies, Nadav Dym, Jianfeng Lu
Stable Phase Retrieval from Locally Stable and Conditionally Connected Measurements. CoRR (2020)
Nadav Dym, Barak Sober, Ingrid Daubechies
Expression of Fractals Through Neural Network Functions. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Nadav Dym, Shahar Z. Kovalsky
Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration. ICCV (2019)
Yam Kushinsky, Haggai Maron, Nadav Dym, Yaron Lipman
Sinkhorn Algorithm for Lifted Assignment Problems. SIAM J. Imaging Sci. 12 (2) (2019)
Nadav Dym, Barak Sober, Ingrid Daubechies
Expression of Fractals Through Neural Network Functions. CoRR (2019)
Nadav Dym, Shahar Ziv Kovalsky
Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration. CoRR (2019)
Roee Lazar, Nadav Dym, Yam Kushinsky, Zhiyang Huang, Tao Ju, Yaron Lipman
Robust optimization for topological surface reconstruction. ACM Trans. Graph. 37 (4) (2018)
Nadav Dym
Exact Recovery with Symmetries for the Doubly Stochastic Relaxation. SIAM J. Appl. Algebra Geom. 2 (3) (2018)
Haggai Maron, Meirav Galun, Noam Aigerman, Miri Trope, Nadav Dym, Ersin Yumer, Vladimir G. Kim, Yaron Lipman
Convolutional neural networks on surfaces via seamless toric covers. ACM Trans. Graph. 36 (4) (2017)
Nadav Dym, Haggai Maron, Yaron Lipman
DS++: a flexible, scalable and provably tight relaxation for matching problems. ACM Trans. Graph. 36 (6) (2017)
Nadav Dym, Yaron Lipman
Exact Recovery with Symmetries for Procrustes Matching. SIAM J. Optim. 27 (3) (2017)
Nadav Dym, Haggai Maron, Yaron Lipman
DS++: A flexible, scalable and provably tight relaxation for matching problems. CoRR (2017)
Nadav Dym, Yaron Lipman, Raz Slutsky
A Linear Variational Principle for Riemann Mapping and Discrete Conformality. CoRR (2017)
Haggai Maron, Nadav Dym, Itay Kezurer, Shahar Z. Kovalsky, Yaron Lipman
Point registration via efficient convex relaxation. ACM Trans. Graph. 35 (4) (2016)
Nadav Dym, Anna Shtengel, Yaron Lipman
Homotopic Morphing of Planar Curves. Comput. Graph. Forum 34 (5) (2015)