Guy Bar-Shalom


Hi! I am a Ph.D. Student in the Computer Science Department at the Technion under the joint supervision of Haggai Maron and Ran El-Yaniv . My research focuses on deep learning, with a specific interest in Graph Neural Networks and uncertainty estimation.

Previously (Summer 2022), I was a Research Scientist Intern at Google-Verily working with Michael Elad on video analysis. In the summer of 2025, I will be joining Meta as a Research Intern.

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Selected Publications

* indicates equal contribution

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Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity (Oral presentation)
Yam Eitan*, Yoav Gelberg*, Guy Bar-Shalom, Fabrizio Frasca, Michael Bronstein, Haggai Maron
International Conference on Learning Representations (ICLR), 2025
Code
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A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening (A shorter version also appeared in the Symmetry and Geometry in Neural Representations Workshop @ NeurIPS 2024 winning the best paper award)
Guy Bar-Shalom*, Yam Eitan*, Fabrizio Frasca, Haggai Maron
Advances in Neural Information Processing Systems (NeurIPS), 2024
Poster / Code / Short talk
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Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
Guy Bar-Shalom, Beatrice Bevilacqua, Haggai Maron
International Conference on Machine Learning, (ICML), 2024
Poster / Code / Short talk / Slides
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Weakly-supervised Representation Learning for Video Alignment and Analysis
Guy Bar-Shalom, George Leifman, Michael Elad
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
Poster / Short talk
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Window-Based Distribution Shift Detection for Deep Neural Networks
Guy Bar-Shalom, Yonatan Geifman, Ran El-Yaniv
Advances in Neural Information Processing Systems (NeurIPS), 2023
Poster / Code / Short talk
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TransBoost: Improving the Best ImageNet Performance using Deep Transduction
Omer Belhasin*, Guy Bar-Shalom*, Ran El-Yaniv
Advances in Neural Information Processing Systems (NeurIPS), 2022
Poster / Code / Short talk

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