Guy Bar-Shalom

According to our database, Guy Bar-Shalom authored at least 17 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A Graph Meta-Network for Learning on Kolmogorov-Arnold Networks.

Guy Bar-Shalom, Ami Tavory, Itay Evron, Maya Bechler-Speicher, Ido Guy, Haggai Maron

CoRR, February, 2026

Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions.

Guy Bar-Shalom, Fabrizio Frasca, Derek Lim, Yoav Gelberg, Yftah Ziser, Ran El-Yaniv, Gal Chechik, Haggai Maron

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

On The Expressive Power of GNN Derivatives.

Yam Eitan, Moshe Eliasof, Yoav Gelberg, Fabrizio Frasca, Guy Bar-Shalom, Haggai Maron

CoRR, October, 2025

Neural Message-Passing on Attention Graphs for Hallucination Detection.

Fabrizio Frasca, Guy Bar-Shalom, Yftah Ziser, Haggai Maron

CoRR, September, 2025

FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing.

Ran Elbaz, Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron

CoRR, September, 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

CoRR, March, 2025

Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT.

Guy Bar-Shalom, Fabrizio Frasca, Yaniv Galron, Yftah Ziser, Haggai Maron

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Topological Blind Spots: 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

CoRR, 2024

Weakly-Supervised Representation Learning for Video Alignment and Analysis.

Guy Bar-Shalom, George Leifman, Michael Elad

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening.

Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products.

Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Weakly-supervised Representation Learning for Video Alignment and Analysis.

Guy Bar-Shalom, George Leifman, Michael Elad, Ehud Rivlin

CoRR, 2023

Window-Based Distribution Shift Detection for Deep Neural Networks.

Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Distribution Shift Detection for Deep Neural Networks.

Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv

CoRR, 2022

TransBoost: Improving the Best ImageNet Performance using Deep Transduction.

Omer Belhasin, Guy Bar-Shalom, Ran El-Yaniv

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022