Nadav Dym

11 papers at tracked venues · 11 at CORE A* · active 2024–2025

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Venues

ICLR ×4 ICML ×4 NeurIPS ×2 AAAI ×1

Frequent coauthors

Tal Amir

×3

Yonatan Sverdlov

×3

Snir Hordan

×3

Haggai Maron

×2

Soutrik Sarangi

×1

Abir De

×1

Yair Davidson

×1

Ido Springer

×1

Maya Bechler-Speicher

×1

Gur Lifshitz

×1

Steven J. Gortler

×1

Aviv Navon

×1

Papers

Fourier Sliced-Wasserstein Embedding for Multisets and Measures
ICLR 2025 ·
Tal Amir
, Nadav Dym
Monotone and Separable Set Functions: Characterizations and Neural Models
NeurIPS 2025 ·
Soutrik Sarangi
,
Yonatan Sverdlov
, Nadav Dym,
Abir De
On the Expressive Power of Sparse Geometric MPNNs
ICLR 2025 ·
Yonatan Sverdlov
, Nadav Dym
On the Hölder Stability of Multiset and Graph Neural Networks
ICLR 2025 ·
Yair Davidson
, Nadav Dym
Revisiting Multi-Permutation Equivariance through the Lens of irreducible Representations
ICLR 2025 ·
Yonatan Sverdlov
,
Ido Springer
, Nadav Dym
Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
NeurIPS 2025 ·
Snir Hordan
,
Maya Bechler-Speicher
,
Gur Lifshitz
, Nadav Dym
Complete Neural Networks for Complete Euclidean Graphs
AAAI 2024 ·
Snir Hordan
,
Tal Amir
,
Steven J. Gortler
, Nadav Dym
Equivariant Deep Weight Space Alignment
ICML 2024 ·
Aviv Navon
,
Aviv Shamsian
,
Ethan Fetaya
,
Gal Chechik
, Nadav Dym,
Haggai Maron
Equivariant Frames and the Impossibility of Continuous Canonicalization
ICML 2024 · Nadav Dym,
Hannah Lawrence
,
Jonathan W. Siegel
Position: Future Directions in the Theory of Graph Machine Learning
ICML 2024 ·
Christopher Morris
,
Fabrizio Frasca
, Nadav Dym,
Haggai Maron
,
Ismail Ilkan Ceylan
,
Ron Levie
,
Derek Lim
,
Michael M. Bronstein
,
Martin Grohe
,
Stefanie Jegelka
Weisfeiler Leman for Euclidean Equivariant Machine Learning
ICML 2024 ·
Snir Hordan
,
Tal Amir
, Nadav Dym