Nadav Dym

Venues

Frequent coauthors

Papers

1. Fourier Sliced-Wasserstein Embedding for Multisets and Measures
   ICLR 2025 ·

   Tal Amir

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2. Monotone and Separable Set Functions: Characterizations and Neural Models
   NeurIPS 2025 ·

   Soutrik Sarangi

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3. On the Expressive Power of Sparse Geometric MPNNs
   ICLR 2025 ·

   Yonatan Sverdlov

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4. On the Hölder Stability of Multiset and Graph Neural Networks
   ICLR 2025 ·

   Yair Davidson

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5. Revisiting Multi-Permutation Equivariance through the Lens of irreducible Representations
   ICLR 2025 ·

   Yonatan Sverdlov

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6. Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
   NeurIPS 2025 ·

   Snir Hordan

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7. Complete Neural Networks for Complete Euclidean Graphs
   AAAI 2024 ·

   Snir Hordan

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8. Equivariant Deep Weight Space Alignment
   ICML 2024 ·

   Aviv Navon

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9. Equivariant Frames and the Impossibility of Continuous Canonicalization
   ICML 2024 · Nadav Dym
10. Position: Future Directions in the Theory of Graph Machine Learning
    ICML 2024 ·

    Christopher Morris

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11. Weisfeiler Leman for Euclidean Equivariant Machine Learning
    ICML 2024 ·

    Snir Hordan

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