Dym, Nadav

13 publications

ICLR 2025 Fourier Sliced-Wasserstein Embedding for Multisets and Measures Tal Amir, Nadav Dym

NeurIPS 2025 Monotone and Separable Set Functions: Characterizations and Neural Models Soutrik Sarangi, Yonatan Sverdlov, Nadav Dym, Abir De

ICLR 2025 On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov, Nadav Dym

ICLR 2025 On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson, Nadav Dym

ICLR 2025 Revisiting Multi-Permutation Equivariance Through the Lens of Irreducible Representations Yonatan Sverdlov, Ido Springer, Nadav Dym

NeurIPS 2025 Spectral Graph Neural Networks Are Incomplete on Graphs with a Simple Spectrum Snir Hordan, Maya Bechler-Speicher, Gur Lifshitz, Nadav Dym

AAAI 2024 Complete Neural Networks for Complete Euclidean Graphs Snir Hordan, Tal Amir, Steven J. Gortler, Nadav Dym

ICML 2024 Equivariant Deep Weight Space Alignment Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron

ICML 2024 Equivariant Frames and the Impossibility of Continuous Canonicalization Nadav Dym, Hannah Lawrence, Jonathan W. Siegel

ICML 2024 Position: Future Directions in the Theory of Graph Machine Learning Christopher Morris, Fabrizio Frasca, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka

ICML 2024 Weisfeiler Leman for Euclidean Equivariant Machine Learning Snir Hordan, Tal Amir, Nadav Dym

NeurIPS 2023 Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem Tal Amir, Steven Gortler, Ilai Avni, Ravina Ravina, Nadav Dym

ICLR 2021 On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym, Haggai Maron