| Provably Powerful Graph Networks H Maron, H Ben-Hamu, H Serviansky, Y Lipman Advances in Neural Information Processing Systems (NeurIPS) 2019, 2019 | 584 | 2019 |
| Invariant and Equivariant Graph Networks H Maron, H Ben-Hamu, N Shamir, Y Lipman International Conference on Learning Representations (ICLR) 2019, 2018 | 482 | 2018 |
| Flow matching for generative modeling Y Lipman, RTQ Chen, H Ben-Hamu, M Nickel, M Le International Conference on Learning Representations (ICLR) 2023, 2022 | 345 | 2022 |
| Frame Averaging for Invariant and Equivariant Network Design O Puny, M Atzmon, H Ben-Hamu, EJ Smith, I Misra, A Grover, Y Lipman International Conference on Learning Representations (ICLR) 2022, 2021 | 97 | 2021 |
| Multi-chart Generative Surface Modeling H Ben-Hamu, H Maron, I Kezurer, G Avineri, Y Lipman ACM Transactions on Graphics (TOG): Volume 37 Issue 6, November 2018, 2018 | 81 | 2018 |
| Surface networks via general covers N Haim, N Segol, H Ben-Hamu, H Maron, Y Lipman Proceedings of the IEEE/CVF international conference on computer vision, 632-641, 2019 | 56 | 2019 |
| Multisample flow matching: Straightening flows with minibatch couplings AA Pooladian, H Ben-Hamu, C Domingo-Enrich, B Amos, Y Lipman, ... International Conference on Machine Learning (ICML) 2023, 2023 | 53 | 2023 |
| Global Attention Improves Graph Networks Generalization O Puny, H Ben-Hamu, Y Lipman ICML 2020 Graph Representation Learning and Beyond Workshop, 2020 | 43* | 2020 |
| Matching normalizing flows and probability paths on manifolds H Ben-Hamu, S Cohen, J Bose, B Amos, A Grover, M Nickel, RTQ Chen, ... International Conference on Machine Learning (ICML) 2022, 2022 | 29 | 2022 |
| Open problems: Approximation power of invariant graph networks H Maron, H Ben-Hamu, Y Lipman NeurIPS 2019 Graph Representation Learning Workshop, 2019 | 5 | 2019 |
| D-Flow: Differentiating through Flows for Controlled Generation H Ben-Hamu, O Puny, I Gat, B Karrer, U Singer, Y Lipman International Conference on Machine Learning (ICML) 2024, 2024 | 2 | 2024 |
| Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri H Ben-Hamu, J Mushkin, TR Raviv, N Sochen 2018 25th IEEE International Conference on Image Processing (ICIP), 734-738, 2018 | 1 | 2018 |
| Provably Powerful Graph Networks: Supplementary Material H Maron, H Ben-Hamu, H Serviansky, Y Lipman | | |
Yaron LipmanWeizmann Institute, FAIR Meta在 weizmann.ac.il 的电子邮件经过验证
