| Wavelet convolutions for large receptive fields SE Finder, R Amoyal, E Treister, O Freifeld European Conference on Computer Vision, 363-380, 2024 | 447 | 2024 |
| PDE-GCN: Novel architectures for graph neural networks motivated by partial differential equations M Eliasof, E Haber, E Treister Advances in neural information processing systems (NeurIPS) 34, 3836-3849, 2021 | 201 | 2021 |
| A fast marching algorithm for the factored eikonal equation E Treister, E Haber Journal of Computational Physics 324, 210-225, 2016 | 96 | 2016 |
| IMEXnet: A forward stable deep neural network E Haber, K Lensink, E Treister, L Ruthotto International Conference on Machine Learning (ICML) 2019, 2525-2534, 2019 | 60 | 2019 |
| Wavelet Feature Maps Compression for Image-to-Image CNNs SE Finder, Y Zohav, M Ashkenazi, E Treister Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2022 | 53 | 2022 |
| Multigrid-augmented deep learning preconditioners for the Helmholtz equation Y Azulay, E Treister SIAM Journal on Scientific Computing 45 (3), S127-S151, 2022 | 52 | 2022 |
| A block-coordinate descent approach for large-scale sparse inverse covariance estimation E Treister, J Turek Advances in Neural Information Processing Systems (NIPS) 27, 2014 | 51 | 2014 |
| jInv--a flexible Julia package for PDE parameter estimation L Ruthotto, E Treister, E Haber SIAM Journal on Scientific Computing 39 (5), S702–S722, 2017 | 50 | 2017 |
| Feature Transportation Improves Graph Neural Networks M Eliasof, E Haber, E Treister AAAI Association for the Advancement of Artificial Intelligence, 2024 | 45* | 2024 |
| Improving Graph Neural Networks with Learnable Propagation Operators M Eliasof, L Ruthotto, E Treister 40th International Conference on Machine Learning (ICML), 2022 | 43 | 2022 |
| Graph positional encoding via random feature propagation M Eliasof, F Frasca, B Bevilacqua, E Treister, G Chechik, H Maron International Conference on Machine Learning (ICML), 9202-9223, 2023 | 38 | 2023 |
| Non-Galerkin multigrid based on sparsified smoothed aggregation. E Treister, I Yavneh SIAM Journal on Scientific Computing (SISC) 37 (1), A30–A54, 2015 | 38 | 2015 |
| pathGCN: Learning general graph spatial operators from paths M Eliasof, E Haber, E Treister International Conference on Machine Learning (ICML), 5878-5891, 2022 | 34 | 2022 |
| DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling M Eliasof, E Treister Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) 2020, 2020 | 33 | 2020 |
| Full waveform inversion guided by travel time tomography E Treister, E Haber SIAM Journal on Scientific Computing 39 (5), S587–S609, 2017 | 31 | 2017 |
| Square and stretch multigrid for stochastic matrix eigenproblems E Treister, I Yavneh Numerical Linear Algebra with Applications 17 (2‐3), 229-251, 2010 | 31 | 2010 |
| NeRN--Learning Neural Representations for Neural Networks M Ashkenazi, Z Rimon, R Vainshtein, S Levi, E Richardson, P Mintz, ... The International Conference on Learning Representations (ICLR) 2023, 2023 | 29 | 2023 |
| Fast multilevel methods for Markov chains HD Sterck, K Miller, E Treister, I Yavneh Numerical Linear Algebra with Applications 18 (6), 961-980, 2011 | 28 | 2011 |
| A multilevel iterated-shrinkage approach to l-1 penalized least-squares minimization E Treister, I Yavneh Signal Processing, IEEE Transactions on 60 (12), 6319-6329, 2012 | 27 | 2012 |
| LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks J Ephrath, M Eliasof, L Ruthotto, E Haber, E Treister IEEE Journal of Selected Topics in Signal Processing 14 (4), 894 - 904, 2020 | 25 | 2020 |
Moshe EliasofUniversity of CambridgeVerified email at cam.ac.uk
