| Text segmentation as a supervised learning task O Koshorek, A Cohen, N Mor, M Rotman, J Berant arXiv preprint arXiv:1803.09337, 2018 | 159 | 2018 |
| Shuffling Recurrent Neural Networks M Rotman, L Wolf Proceedings of the AAAI Conference on Artificial Intelligence 35, 9428-9435, 2021 | 35 | 2021 |
| Effectively using unsupervised machine learning in next generation astronomical surveys I Reis, M Rotman, D Poznanski, JX Prochaska, L Wolf Astronomy and Computing 34, 100437, 2021 | 17 | 2021 |
| Electric analog circuit design with hypernetworks and a differential simulator M Rotman, L Wolf ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 13 | 2020 |
| Correcting motion artifacts in MRI scans using a deep neural network with automatic motion timing detection M Rotman, R Brada, I Beniaminy, S Ahn, CJ Hardy, L Wolf Medical Imaging 2021: Physics of Medical Imaging 11595, 296-305, 2021 | 7 | 2021 |
| MRI system and method for detection and correction of patient motion RS Brada, CJ Hardy, S Ahn, IH Jansen, I Malkiel, M Rotman, R Wein US Patent 10,806,370, 2020 | 5 | 2020 |
| Towards motion-robust MRI autonomous motion timing and correction during MR scanning using multi-coil data and a deep-learning neural network R Brada, M Rotman, R Wein, S Ahn, I Malkiel, CJ Hardy Proc. ISMRM Twenty Seventh Annual Meeting, 2019 | 4 | 2019 |
| Semi-supervised learning of partial differential operators and dynamical flows M Rotman, A Dekel, RI Ber, L Wolf, Y Oz Uncertainty in Artificial Intelligence, 1785-1794, 2023 | 3 | 2023 |
| Unsupervised Disentanglement with Tensor Product Representations on the Torus M Rotman, A Dekel, S Gur, Y Oz, L Wolf International Conference on Learning Representations, 2022 | 3 | 2022 |
| Detect the Unexpected: Novelty Detection in Large Astrophysical Surveys using Fisher Vectors. M Rotman, I Reis, D Poznanski, L Wolf KDIR, 124-134, 2019 | 3 | 2019 |
| MRI system and method using neural network for detection of patient motion IH Jansen, S Ahn, CJ Hardy, I Malkiel, RS Brada, R Wein, M Rotman US Patent 10,996,306, 2021 | 2 | 2021 |
| System and method for correcting for patient motion during MR scanning M Rotman, RS Brada, S Ahn, CJ Hardy, I Malkiel, R Wein US Patent 11,696,700, 2023 | 1 | 2023 |
| Energy Regularized RNNS for solving non-stationary Bandit problems M Rotman, L Wolf ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Gradient Adjusting Networks for Domain Inversion E Sheffi, M Rotman, L Wolf Scandinavian Conference on Image Analysis, 118-137, 2023 | | 2023 |
| Natural Statistics Of Network Activations And Implications For Knowledge Distillation M Rotman, L Wolf 2021 IEEE International Conference on Image Processing (ICIP), 399-403, 2021 | | 2021 |
| Per-Weight Class-Based Learning Rates via Analytical Continuation M Rotman, L Wolf | | 2017 |
| Perceptual motion scoring: An algorithm for automated detection and grading of MRI motion artifacts R Brada, M Rotman, S Ahn, CJ Hardy | | |
| A deep network for continuous motion detection during MRI scanning IH Jansen, S Ahn, R Brada, M Rotman, CJ Hardy | | |
