Bar-Shalom, Guy

12 publications

ICML 2025 Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality Joshua Southern, Yam Eitan, Guy Bar-Shalom, Michael M. Bronstein, Haggai Maron, Fabrizio Frasca

NeurIPS 2025 Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT Guy Bar-Shalom, Fabrizio Frasca, Yaniv Galron, Yftah Ziser, Haggai Maron

ICLRW 2025 Learning on LLM Output Signatures for Gray Box LLM Behavior Analysis Guy Bar-Shalom, Fabrizio Frasca, Derek Lim, Yoav Gelberg, Yftah Ziser, Ran El-Yaniv, Gal Chechik, Haggai Maron

ICLR 2025 Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity Yam Eitan, Yoav Gelberg, Guy Bar-Shalom, Fabrizio Frasca, Michael M. Bronstein, Haggai Maron

NeurIPS 2024 A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron

NeurIPSW 2024 Efficient Subgraph GNNs via Graph Products and Coarsening Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron

ICML 2024 Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron

NeurIPSW 2024 Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity Yam Eitan, Yoav Gelberg, Guy Bar-Shalom, Fabrizio Frasca, Michael M. Bronstein, Haggai Maron

WACV 2024 Weakly-Supervised Representation Learning for Video Alignment and Analysis Guy Bar-Shalom, George Leifman, Michael Elad

NeurIPSW 2023 Subgraphormer: Subgraph GNNs Meet Graph Transformers Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron

NeurIPS 2023 Window-Based Distribution Shift Detection for Deep Neural Networks Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv

NeurIPS 2022 TransBoost: Improving the Best ImageNet Performance Using Deep Transduction Omer Belhasin, Guy Bar-Shalom, Ran El-Yaniv