Nadav Dym

Technion – Israel Institute of Technology — Israel

Engineering · Physical Sciences

9h-index587citations48works1.12yr avg
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Research Topics

3D Shape Modeling and Analysis(11), Neural Networks and Applications(9), Advanced Numerical Analysis Techniques(8), Computational Geometry and Mesh Generation(5), Graph Theory and Algorithms(5)

Publications48 total

The stability of generalized phase retrieval problem over compact groups
Applied and Computational Harmonic Analysis·2025
Phase Retrieval with Semialgebraic and ReLU Neural Network Priors
SIAM Journal on Mathematics of Data Science·2025· 1 citedOpen Access
A Transversality Theorem for Semi-Algebraic Sets with Application to Signal Recovery from the Second Moment and Cryo-EM
Foundations of Computational Mathematics·2025· 1 citedOpen Access
Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
arXiv (Cornell University)·2025Open Access
On the (Non) Injectivity of Piecewise Linear Janossy Pooling
arXiv (Cornell University)·2025Open Access
The stability of generalized phase retrieval problem over compact groups
arXiv (Cornell University)·2025Open Access
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
arXiv (Cornell University)·2025Open Access
Bi-Lipschitz Ansatz for Anti-Symmetric Functions
arXiv (Cornell University)·2025Open Access
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
arXiv (Cornell University)·2024Open Access
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
arXiv (Cornell University)·2024Open Access
On the Hölder Stability of Multiset and Graph Neural Networks
arXiv (Cornell University)·2024Open Access
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
arXiv (Cornell University)·2024Open Access
A transversality theorem for semi-algebraic sets with application to signal recovery from the second moment and cryo-EM
arXiv (Cornell University)·2024Open Access
Complete Neural Networks for Complete Euclidean Graphs
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 3 citedOpen Access
Equivariant Frames and the Impossibility of Continuous Canonicalization
arXiv (Cornell University)·2024· 1 citedOpen Access
Low-Dimensional Invariant Embeddings for Universal Geometric Learning
Foundations of Computational Mathematics·2024· 13 citedOpen Access
Weisfeiler Leman for Euclidean Equivariant Machine Learning
arXiv (Cornell University)·2024Open Access
Future Directions in the Theory of Graph Machine Learning
arXiv (Cornell University)·2024Open Access
Phase retrieval with semi-algebraic and ReLU neural network priors
arXiv (Cornell University)·2023Open Access
Equivariant Deep Weight Space Alignment
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Yaron Lipman(12), Haggai Maron(11), Tal Amir(9), Tamir Bendory(6), Dan Edidin(6), Shahar Z. Kovalsky(5), Steven J. Gortler(5), Snir Hordan(4), Arun Suresh(4), Jianfeng Lu(3), Raz Slutsky(3), Barak Sober(3), Yam Kushinsky(2), Cheng Cheng(2), Ingrid Daubechies(2), Ingrid Daubechies(2), Ronald DeVore(2), Shira Faigenbaum-Golovin(2), Josiah Park(2), Yair Davidson(2)