| On the universality of invariant networks H Maron, E Fetaya, N Segol, Y Lipman International conference on machine learning, 4363-4371, 2019 | 121 | 2019 |
| On universal equivariant set networks N Segol, Y Lipman arXiv preprint arXiv:1910.02421, 2019 | 34 | 2019 |
| 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 | 27 | 2019 |
| Set2graph: Learning graphs from sets H Serviansky, N Segol, J Shlomi, K Cranmer, E Gross, H Maron, Y Lipman Advances in Neural Information Processing Systems 33, 22080-22091, 2020 | 26 | 2020 |
| Secondary vertex finding in jets with neural networks J Shlomi, S Ganguly, E Gross, K Cranmer, Y Lipman, H Serviansky, ... The European Physical Journal C 81 (6), 1-12, 2021 | 16 | 2021 |
| Improved convergence guarantees for learning Gaussian mixture models by EM and gradient EM N Segol, B Nadler Electronic journal of statistics 15 (2), 4510-4544, 2021 | | 2021 |
Niv HaimWeizmann Institute of ScienceVerified email at weizmann.ac.il
