Nadav Dym
12 papers · 2019–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (22) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver
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Grand Slam
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
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Venues
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Research topics
Deep Learning
(9)
Architectures
(9)
Machine Learning
(7)
Mathematics & Optimization
(5)
Core Methods
(4)
Optimization
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Core AI
(2)
Mathematics
(2)
Analysis
(1)
Application Areas
(1)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Keywords
point cloud
(3)
graph neural network
(3)
approximation theory
(2)
expressive power
(2)
message passing neural network
(2)
sliced wasserstein distance
(1)
machine learning
(1)
group theory
(1)
global optimization
(1)
branch and bound
(1)
irreducible representations
(1)
euclidean space
(1)
linear convergence
(1)
generalization
(1)
graph isomorphism
(1)
optimization
(1)
adversarial example
(1)
group equivariance
(1)
permutation invariance
(1)
permutation equivariance
(1)
Papers
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
ICLR 2025
On the Expressive Power of Sparse Geometric MPNNs
ICLR 2025
On the Hölder Stability of Multiset and Graph Neural Networks
ICLR 2025
REVISITING MULTI-PERMUTATION EQUIVARIANCE THROUGH THE LENS OF IRREDUCIBLE REPRESENTATIONS
ICLR 2025
Complete Neural Networks for Complete Euclidean Graphs
AAAI 2024
Equivariant Deep Weight Space Alignment
ICML 2024
Equivariant Frames and the Impossibility of Continuous Canonicalization
ICML 2024
Position: Future Directions in the Theory of Graph Machine Learning
ICML 2024
Weisfeiler Leman for Euclidean Equivariant Machine Learning
ICML 2024
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem
NeurIPS 2023
On the Universality of Rotation Equivariant Point Cloud Networks
ICLR 2021
Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration
ICCV 2019