| Plasmonic nanostructure design and characterization via deep learning I Malkiel, M Mrejen, A Nagler, U Arieli, L Wolf, H Suchowski Light: Science & Applications 7 (1), 1-8, 2018 | 325 | 2018 |
| Variable-density single-shot fast spin-echo MRI with deep learning reconstruction by using variational networks F Chen, V Taviani, I Malkiel, JY Cheng, JI Tamir, J Shaikh, ST Chang, ... Radiology 289 (2), 366, 2018 | 89 | 2018 |
| Deep learning for design and retrieval of nano-photonic structures I Malkiel, A Nagler, M Mrejen, U Arieli, L Wolf, H Suchowski arXiv preprint arXiv:1702.07949, 2017 | 33 | 2017 |
| Scalable attentive sentence pair modeling via distilled sentence embedding O Barkan, N Razin, I Malkiel, O Katz, A Caciularu, N Koenigstein Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3235-3242, 2020 | 26 | 2020 |
| Deep learning for the design of nano-photonic structures I Malkiel, M Mrejen, A Nagler, U Arieli, L Wolf, H Suchowski 2018 IEEE International Conference on Computational Photography (ICCP), 1-14, 2018 | 21 | 2018 |
| Cold Item Recommendations via Hierarchical Item2vec O Barkan, A Caciularu, I Rejwan, O Katz, J Weill, I Malkiel, N Koenigstein 2020 IEEE International Conference on Data Mining (ICDM), 912-917, 2020 | 9 | 2020 |
| RecoBERT: A Catalog Language Model for Text-Based Recommendations I Malkiel, O Barkan, A Caciularu, N Razin, O Katz, N Koenigstein arXiv preprint arXiv:2009.13292, 2020 | 9 | 2020 |
| Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference D Ginzburg, I Malkiel, O Barkan, A Caciularu, N Koenigstein arXiv preprint arXiv:2106.01186, 2021 | 8 | 2021 |
| Plasmonic nanostructure design and characterization via deep learning. Light: Sci Appl 7 (1): 60 I Malkiel, M Mrejen, A Nagler, U Arieli, L Wolf, H Suchowski | 8 | 2018 |
| Representation Learning via Variational Bayesian Networks O Barkan, A Caciularu, I Rejwan, O Katz, J Weill, I Malkiel, N Koenigstein Proceedings of the 30th ACM International Conference on Information …, 2021 | 6 | 2021 |
| MTAdam: Automatic Balancing of Multiple Training Loss Terms I Malkiel, L Wolf arXiv preprint arXiv:2006.14683, 2020 | 6 | 2020 |
| Machine learning for nanophotonics I Malkiel, M Mrejen, L Wolf, H Suchowski MRS Bulletin 45 (3), 221-229, 2020 | 6 | 2020 |
| SYSTEM AND METHOD FOR SPARSE IMAGE RECONSTRUCTION I Malkiel, S Ahn, CJ Hardy US Patent 20,190,266,761, 2019 | 5 | 2019 |
| Pre-training and Fine-tuning Transformers for fMRI Prediction Tasks I Malkiel, G Rosenman, L Wolf, T Hendler arXiv preprint arXiv:2112.05761, 2021 | 4 | 2021 |
| Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction I Malkiel, S Ahn, V Taviani, A Menini, L Wolf, CJ Hardy arXiv preprint arXiv:1905.00985, 2019 | 4 | 2019 |
| 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, C Hardy ISMRM 27th Annual Meeting, 4438, 2019 | 4 | 2019 |
| Densely Connected Iterative Network for Sparse MRI Reconstruction I Malkiel, S Ahn, Z Slavens, V Taviani, C Hardy ISMRM 26th Annual Meeting, 3363, 2018 | 4 | 2018 |
| Inverse design of unparametrized nanostructures by generating images from spectra I Malkiel, M Mrejen, L Wolf, H Suchowski Optics Letters 46 (9), 2087-2090, 2021 | 3 | 2021 |
| Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps O Barkan, E Hauon, A Caciularu, O Katz, I Malkiel, O Armstrong, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 2 | 2021 |
| GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps O Barkan, O Armstrong, A Hertz, A Caciularu, O Katz, I Malkiel, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 2 | 2021 |
