← Authors

Haggai Maron

44 papers · 2018–2026 · 9 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (7) 🧬 Topic Evolution πŸ† Keyword Champion (3) 🀝 Dynamic Duo (14) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (14) πŸ—ƒοΈ Keyword Collector (141) ⚑ Prolific Year (11) πŸ’Ž Century Club (43) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter

Conferences

ICML (16) NIPS (11) ICLR (10) ICCV (2) AAAI (1) IJCAI (1) INTERSPEECH (1) JMLR (1) WACV (1)

Top co-authors

Gal Chechik (15) Ethan Fetaya (10) Yaron Lipman (9) Fabrizio Frasca (8) Derek Lim (8) Beatrice Bevilacqua (6) Guy Bar-Shalom (5) Aviv Navon (5) Idan Achituve (4) Eli Meirom (4)

Keywords

graph neural network (12) message passing (4) expressive power (3) neural network (3) permutation equivariance (3) set learning (2) reinforcement learning (2) symmetric element (2) graph isomorphism (2) 3d reconstruction (2) permutation invariance (2) graph classification (2) unsupervised learning (2) combinatorial optimization (2) representation learning (2) self-supervised learning (2) weisfeiler-lehman test (2) point cloud (2) permutation symmetry (2) equivariant layer (2)

Papers

Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions AAAI 2026
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks ICLR 2025
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality ICML 2025
Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models ICLR 2025
Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity ICLR 2025
Graph Metanetworks for Processing Diverse Neural Architectures ICLR 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products ICML 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof NIPS 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks NIPS 2024
Fast Encoder-Based 3D from Casual Videos via Point Track Processing NIPS 2024
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening NIPS 2024
Equivariant Deep Weight Space Alignment ICML 2024
Position: Future Directions in the Theory of Graph Machine Learning ICML 2024
Efficient Subgraph GNNs by Learning Effective Selection Policies ICLR 2024
On the Expressive Power of Spectral Invariant Graph Neural Networks ICML 2024
Improved Generalization of Weight Space Networks via Augmentations ICML 2024
Sign and Basis Invariant Networks for Spectral Graph Representation Learning ICLR 2023
Expressive Sign Equivariant Networks for Spectral Geometric Learning NIPS 2023
Norm-guided latent space exploration for text-to-image generation NIPS 2023
Graph Positional Encoding via Random Feature Propagation ICML 2023
Equivariant Architectures for Learning in Deep Weight Spaces ICML 2023
Equivariant Polynomials for Graph Neural Networks ICML 2023
Weisfeiler and Leman go Machine Learning: The Story so far JMLR 2023
Multi-Task Learning as a Bargaining Game ICML 2022
Equivariant Subgraph Aggregation Networks ICLR 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries NIPS 2022
Optimizing Tensor Network Contraction Using Reinforcement Learning ICML 2022
Scene-Agnostic Multi-Microphone Speech Dereverberation INTERSPEECH 2021
Self-Supervised Learning for Domain Adaptation on Point Clouds WACV 2021
From Local Structures to Size Generalization in Graph Neural Networks ICML 2021
On Learning Sets of Symmetric Elements (Extended Abstract) IJCAI 2021
Auxiliary Learning by Implicit Differentiation ICLR 2021
On the Universality of Rotation Equivariant Point Cloud Networks ICLR 2021
Deep Permutation Equivariant Structure From Motion ICCV 2021
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks ICML 2021
Set2Graph: Learning Graphs From Sets NIPS 2020
On Learning Sets of Symmetric Elements ICML 2020
Learning Algebraic Multigrid Using Graph Neural Networks ICML 2020
Invariant and Equivariant Graph Networks ICLR 2019
Controlling Neural Level Sets NIPS 2019
On the Universality of Invariant Networks ICML 2019
Surface Networks via General Covers ICCV 2019
Provably Powerful Graph Networks NIPS 2019
(Probably) Concave Graph Matching NIPS 2018