Guy Bar-Shalom

21 papers A* 7A 1Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Graph Meta-Network for Learning on Kolmogorov-Arnold Networks.
CoRR
Guy Bar-Shalom, Ami Tavory, Itay Evron, Maya Bechler-Speicher, Ido Guy, Haggai Maron
2026 A* conf
Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions.
AAAI
Guy Bar-Shalom, Fabrizio Frasca, Derek Lim, Yoav Gelberg, Yftah Ziser, Ran El-Yaniv, Gal Chechik, Haggai Maron
2025 A* conf
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality.
ICML
Joshua Southern, Yam Eitan, Guy Bar-Shalom, Michael M. Bronstein, Haggai Maron, Fabrizio Frasca
2025 J jnl
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality.
CoRR
Joshua Southern, Yam Eitan, Guy Bar-Shalom, Michael M. Bronstein, Haggai Maron, Fabrizio Frasca
2025 J jnl
Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT.
CoRR
Guy Bar-Shalom, Fabrizio Frasca, Yaniv Galron, Yftah Ziser, Haggai Maron
2025 J jnl
FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing.
CoRR
Ran Elbaz, Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron
2025 J jnl
Learning on LLM Output Signatures for gray-box LLM Behavior Analysis.
CoRR
Guy Bar-Shalom, Fabrizio Frasca, Derek Lim, Yoav Gelberg, Yftah Ziser, Ran El-Yaniv, Gal Chechik, Haggai Maron
2025 J jnl
Neural Message-Passing on Attention Graphs for Hallucination Detection.
CoRR
Fabrizio Frasca, Guy Bar-Shalom, Yftah Ziser, Haggai Maron
2025 J jnl
On The Expressive Power of GNN Derivatives.
CoRR
Yam Eitan, Moshe Eliasof, Yoav Gelberg, Fabrizio Frasca, Guy Bar-Shalom, Haggai Maron
2025 A* conf
Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity.
ICLR
Yam Eitan, Yoav Gelberg, Guy Bar-Shalom, Fabrizio Frasca, Michael M. Bronstein, Haggai Maron
2024 A* conf
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening.
NeurIPS
Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron
2024 J jnl
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening.
CoRR
Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron
2024 A* conf
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products.
ICML
Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron
2024 J jnl
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products.
CoRR
Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron
2024 J jnl
Topological Blind Spots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity.
CoRR
Yam Eitan, Yoav Gelberg, Guy Bar-Shalom, Fabrizio Frasca, Michael M. Bronstein, Haggai Maron
2024 A conf
Weakly-Supervised Representation Learning for Video Alignment and Analysis.
WACV
Guy Bar-Shalom, George Leifman, Michael Elad
2023 J jnl
Weakly-supervised Representation Learning for Video Alignment and Analysis.
CoRR
Guy Bar-Shalom, George Leifman, Michael Elad, Ehud Rivlin
2023 A* conf
Window-Based Distribution Shift Detection for Deep Neural Networks.
NeurIPS
Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv
2022 J jnl
Distribution Shift Detection for Deep Neural Networks.
CoRR
Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv
2022 A* conf
TransBoost: Improving the Best ImageNet Performance using Deep Transduction.
NeurIPS
Omer Belhasin, Guy Bar-Shalom, Ran El-Yaniv
2022 J jnl
TransBoost: Improving the Best ImageNet Performance using Deep Transduction.
CoRR
Omer Belhasin, Guy Bar-Shalom, Ran El-Yaniv