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Haggai Maron

19 papers at tracked venues · 18 at CORE A* · active 2024–2026

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Venues

ICML ×6NeurIPS ×6ICLR ×5AAAI ×1ECML-PKDD ×1

Frequent coauthors

Guy Bar-Shalom
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Derek Lim
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Joshua Southern
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Yoav Gelberg
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Jingchu Gai
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Dvir Samuel
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Yam Eitan
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Yaniv Galron
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Beatrice Bevilacqua
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Aviv Navon
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Yoni Kasten
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Moshe Eliasof
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Papers

  1. Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
    AAAI 2026 ·
    Guy Bar-Shalom
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  2. Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
    ICML 2025 ·
    Joshua Southern
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  3. Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT
    NeurIPS 2025 ·
    Guy Bar-Shalom
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  4. GradMetaNet: An Equivariant Architecture for Learning on Gradients
    NeurIPS 2025 ·
    Yoav Gelberg
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  5. Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
    ICLR 2025 ·
    Jingchu Gai
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  6. Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models
    ICLR 2025 ·
    Dvir Samuel
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  7. Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
    ICLR 2025 ·
    Yam Eitan
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  8. Understanding and Improving Laplacian Positional Encodings for Temporal GNNs
    ECML-PKDD 2025 ·
    Yaniv Galron
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  9. A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
    NeurIPS 2024 ·
    Guy Bar-Shalom
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  10. Efficient Subgraph GNNs by Learning Effective Selection Policies
    ICLR 2024 ·
    Beatrice Bevilacqua
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  11. Equivariant Deep Weight Space Alignment
    ICML 2024 ·
    Aviv Navon
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  12. Fast Encoder-Based 3D from Casual Videos via Point Track Processing
    NeurIPS 2024 ·
    Yoni Kasten
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  13. GRANOLA: Adaptive Normalization for Graph Neural Networks
    NeurIPS 2024 ·
    Moshe Eliasof
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  14. Graph Metanetworks for Processing Diverse Neural Architectures
    ICLR 2024 ·
    Derek Lim
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  15. Improved Generalization of Weight Space Networks via Augmentations
    ICML 2024 ·
    Aviv Shamsian
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  16. On the Expressive Power of Spectral Invariant Graph Neural Networks
    ICML 2024 ·
    Bohang Zhang
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  17. Position: Future Directions in the Theory of Graph Machine Learning
    ICML 2024 ·
    Christopher Morris
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  18. Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
    ICML 2024 ·
    Guy Bar-Shalom
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  19. The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
    NeurIPS 2024 ·
    Derek Lim
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