Nadav Dym - RankMe

58 papers A* 12Journal 45Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantitative Approximation Rates for Group Equivariant Learning. CoRR Jonathan W. Siegel, Snir Hordan, Hannah Lawrence, Ali Syed, Nadav Dym
2026	J	`jnl`	Transport, Don't Generate: Deterministic Geometric Flows for Combinatorial Optimization. CoRR Benjy Friedmann, Nadav Dym
2025	J	`jnl`	Bi-Lipschitz Ansatz for Anti-Symmetric Functions. CoRR Nadav Dym, Jianfeng Lu, Matan Mizrachi
2025	A*	`conf`	Fourier Sliced-Wasserstein Embedding for Multisets and Measures. ICLR Tal Amir, Nadav Dym
2025	J	`jnl`	Low-Dimensional Invariant Embeddings for Universal Geometric Learning. Found. Comput. Math. Nadav Dym, Steven J. Gortler
2025	J	`jnl`	Monotone and Separable Set Functions: Characterizations and Neural Models. CoRR Soutrik Sarangi, Yonatan Sverdlov, Nadav Dym, Abir De
2025	J	`jnl`	On the (Non) Injectivity of Piecewise Linear Janossy Pooling. CoRR Ilai Reshef, Nadav Dym
2025	A*	`conf`	On the Expressive Power of Sparse Geometric MPNNs. ICLR Yonatan Sverdlov, Nadav Dym
2025	A*	`conf`	On the Hölder Stability of Multiset and Graph Neural Networks. ICLR Yair Davidson, Nadav Dym
2025	J	`jnl`	Phase Retrieval with Semialgebraic and ReLU Neural Network Priors. SIAM J. Math. Data Sci. Tamir Bendory, Nadav Dym, Dan Edidin, Arun Suresh
2025	J	`jnl`	Quantitative Bounds for Sorting-Based Permutation-Invariant Embeddings. CoRR Nadav Dym, Matthias Wellershoff, Efstratios Tsoukanis, Daniel Levy, Radu Balan
2025	A*	`conf`	Revisiting Multi-Permutation Equivariance through the Lens of irreducible Representations. ICLR Yonatan Sverdlov, Ido Springer, Nadav Dym
2025	J	`jnl`	Short-Range Oversquashing. CoRR Yaaqov Mishayev, Yonatan Sverdlov, Tal Amir, Nadav Dym
2025	J	`jnl`	Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum. CoRR Snir Hordan, Maya Bechler-Speicher, Gur Lifshitz, Nadav Dym
2025	J	`jnl`	The stability of generalized phase retrieval problem over compact groups. CoRR Tal Amir, Tamir Bendory, Nadav Dym, Dan Edidin
2025	J	`jnl`	Toward bilipshiz geometric models. CoRR Yonatan Sverdlov, Eitan Rosen, Nadav Dym
2024	J	`jnl`	A transversality theorem for semi-algebraic sets with application to signal recovery from the second moment and cryo-EM. CoRR Tamir Bendory, Nadav Dym, Dan Edidin, Arun Suresh
2024	A*	`conf`	Complete Neural Networks for Complete Euclidean Graphs. AAAI Snir Hordan, Tal Amir, Steven J. Gortler, Nadav Dym
2024	A*	`conf`	Equivariant Deep Weight Space Alignment. ICML Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron
2024	A*	`conf`	Equivariant Frames and the Impossibility of Continuous Canonicalization. ICML Nadav Dym, Hannah Lawrence, Jonathan W. Siegel
2024	J	`jnl`	Equivariant Frames and the Impossibility of Continuous Canonicalization. CoRR Nadav Dym, Hannah Lawrence, Jonathan W. Siegel
2024	J	`jnl`	FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network. CoRR Yonatan Sverdlov, Yair Davidson, Nadav Dym, Tal Amir
2024	J	`jnl`	Future Directions in Foundations of Graph Machine Learning. CoRR Christopher Morris, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Fabrizio Frasca, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka
2024	J	`jnl`	Injective Sliced-Wasserstein embedding for weighted sets and point clouds. CoRR Tal Amir, Nadav Dym
2024	J	`jnl`	On the Expressive Power of Sparse Geometric MPNNs. CoRR Yonatan Sverdlov, Nadav Dym
2024	J	`jnl`	On the Hölder Stability of Multiset and Graph Neural Networks. CoRR Yair Davidson, Nadav Dym
2024	A*	`conf`	Position: Future Directions in the Theory of Graph Machine Learning. ICML Christopher Morris, Fabrizio Frasca, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka
2024	J	`jnl`	Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations. CoRR Yonatan Sverdlov, Ido Springer, Nadav Dym
2024	A*	`conf`	Weisfeiler Leman for Euclidean Equivariant Machine Learning. ICML Snir Hordan, Tal Amir, Nadav Dym
2024	J	`jnl`	Weisfeiler Leman for Euclidean Equivariant Machine Learning. CoRR Snir Hordan, Tal Amir, Nadav Dym
2023	J	`jnl`	Complete Neural Networks for Euclidean Graphs. CoRR Snir Hordan, Tal Amir, Steven J. Gortler, Nadav Dym
2023	J	`jnl`	Equivariant Deep Weight Space Alignment. CoRR Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron
2023	A*	`conf`	Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem. NeurIPS Tal Amir, Steven J. Gortler, Ilai Avni, Ravina Ravina, Nadav Dym
2023	J	`jnl`	Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem. CoRR Tal Amir, Steven J. Gortler, Ilai Avni, Ravina Ravina, Nadav Dym
2023	J	`jnl`	Neural Network Approximation of Refinable Functions. IEEE Trans. Inf. Theory Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober
2023	J	`jnl`	Phase retrieval with semi-algebraic and ReLU neural network priors. CoRR Tamir Bendory, Nadav Dym, Dan Edidin, Arun Suresh
2022	—	`conf`	A Simple and Universal Rotation Equivariant Point-Cloud Network. TAG-ML Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym
2022	J	`jnl`	A Simple and Universal Rotation Equivariant Point-cloud Network. CoRR Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym
2022	J	`jnl`	Low Dimensional Invariant Embeddings for Universal Geometric Learning. CoRR Nadav Dym, Steven J. Gortler
2022	J	`jnl`	Symmetrized Robust Procrustes: Constant-Factor Approximation and Exact Recovery. CoRR Tal Amir, Shahar Z. Kovalsky, Nadav Dym
2021	J	`jnl`	Neural Network Approximation of Refinable Functions. CoRR Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober
2021	A*	`conf`	On the Universality of Rotation Equivariant Point Cloud Networks. ICLR Nadav Dym, Haggai Maron
2020	J	`jnl`	Expression of Fractals Through Neural Network Functions. IEEE J. Sel. Areas Inf. Theory Nadav Dym, Barak Sober, Ingrid Daubechies
2020	J	`jnl`	On the Universality of Rotation Equivariant Point Cloud Networks. CoRR Nadav Dym, Haggai Maron
2020	J	`jnl`	Stable Phase Retrieval from Locally Stable and Conditionally Connected Measurements. CoRR Cheng Cheng, Ingrid Daubechies, Nadav Dym, Jianfeng Lu
2019	J	`jnl`	Expression of Fractals Through Neural Network Functions. CoRR Nadav Dym, Barak Sober, Ingrid Daubechies
2019	A*	`conf`	Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration. ICCV Nadav Dym, Shahar Z. Kovalsky
2019	J	`jnl`	Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration. CoRR Nadav Dym, Shahar Ziv Kovalsky
2019	J	`jnl`	Sinkhorn Algorithm for Lifted Assignment Problems. SIAM J. Imaging Sci. Yam Kushinsky, Haggai Maron, Nadav Dym, Yaron Lipman
2018	J	`jnl`	Exact Recovery with Symmetries for the Doubly Stochastic Relaxation. SIAM J. Appl. Algebra Geom. Nadav Dym
2018	J	`jnl`	Robust optimization for topological surface reconstruction. ACM Trans. Graph. Roee Lazar, Nadav Dym, Yam Kushinsky, Zhiyang Huang, Tao Ju, Yaron Lipman
2017	J	`jnl`	A Linear Variational Principle for Riemann Mapping and Discrete Conformality. CoRR Nadav Dym, Yaron Lipman, Raz Slutsky
2017	J	`jnl`	Convolutional neural networks on surfaces via seamless toric covers. ACM Trans. Graph. Haggai Maron, Meirav Galun, Noam Aigerman, Miri Trope, Nadav Dym, Ersin Yumer, Vladimir G. Kim, Yaron Lipman
2017	J	`jnl`	DS++: A flexible, scalable and provably tight relaxation for matching problems. CoRR Nadav Dym, Haggai Maron, Yaron Lipman
2017	J	`jnl`	DS++: a flexible, scalable and provably tight relaxation for matching problems. ACM Trans. Graph. Nadav Dym, Haggai Maron, Yaron Lipman
2017	J	`jnl`	Exact Recovery with Symmetries for Procrustes Matching. SIAM J. Optim. Nadav Dym, Yaron Lipman
2016	J	`jnl`	Point registration via efficient convex relaxation. ACM Trans. Graph. Haggai Maron, Nadav Dym, Itay Kezurer, Shahar Z. Kovalsky, Yaron Lipman
2015	J	`jnl`	Homotopic Morphing of Planar Curves. Comput. Graph. Forum Nadav Dym, Anna Shtengel, Yaron Lipman