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itzik malkiel
itzik malkiel
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Verified email at mail.tau.ac.il
Title
Cited by
Cited by
Year
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
3252018
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
892018
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
332017
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
262020
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
212018
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
92020
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
92020
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
82021
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
82018
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
62021
MTAdam: Automatic Balancing of Multiple Training Loss Terms
I Malkiel, L Wolf
arXiv preprint arXiv:2006.14683, 2020
62020
Machine learning for nanophotonics
I Malkiel, M Mrejen, L Wolf, H Suchowski
MRS Bulletin 45 (3), 221-229, 2020
62020
SYSTEM AND METHOD FOR SPARSE IMAGE RECONSTRUCTION
I Malkiel, S Ahn, CJ Hardy
US Patent 20,190,266,761, 2019
52019
Pre-training and Fine-tuning Transformers for fMRI Prediction Tasks
I Malkiel, G Rosenman, L Wolf, T Hendler
arXiv preprint arXiv:2112.05761, 2021
42021
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
42019
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
42019
Densely Connected Iterative Network for Sparse MRI Reconstruction
I Malkiel, S Ahn, Z Slavens, V Taviani, C Hardy
ISMRM 26th Annual Meeting, 3363, 2018
42018
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
32021
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
22021
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
22021
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