Guy Bar-Shalom

According to our database, Guy Bar-Shalom authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

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

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

Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, 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

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