Haggai Maron

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