| TransBoost: Improving the Best ImageNet Performance using Deep Transduction O Belhasin, G Bar-Shalom, R El-Yaniv Advances in Neural Information Processing Systems 35, 2022 | 5 | 2022 |
| Topological blind spots: Understanding and extending topological deep learning through the lens of expressivity Y Eitan, Y Gelberg, G Bar-Shalom, F Frasca, M Bronstein, H Maron arXiv preprint arXiv:2408.05486, 2024 | 3 | 2024 |
| Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products G Bar-Shalom, B Bevilacqua, H Maron arXiv preprint arXiv:2402.08450, 2024 | 2 | 2024 |
| Window-based distribution shift detection for deep neural networks G Bar Shalom, Y Geifman, R El-Yaniv Advances in Neural Information Processing Systems 36, 2024 | 2* | 2024 |
| Weakly-Supervised Representation Learning for Video Alignment and Analysis G Bar-Shalom, G Leifman, M Elad Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2 | 2024 |
| A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening G Bar-Shalom, Y Eitan, F Frasca, H Maron arXiv preprint arXiv:2406.09291, 2024 | 1 | 2024 |
| Subgraphormer: Subgraph GNNs meet Graph Transformers G Bar-Shalom, B Bevilacqua, H Maron NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | 1 | 2023 |
| TransBoost: Improving the Best ImageNet Performance using Deep Transduction Supplementary Material O Belhasin, G Bar-Shalom, R El-Yaniv | | |
Haggai MaronAssistant Professor at the Technion, Research Scientist at NVIDIA Research在 technion.ac.il 的电子邮件经过验证
