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Haggai Maron

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

Achievements

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+14 more ↓ 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 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