| Spin angular momentum and tunable polarization in high-harmonic generation A Fleischer, O Kfir, T Diskin, P Sidorenko, O Cohen Nature Photonics 8 (7), 543-549, 2014 | 613 | 2014 |
| Deep MIMO detection N Samuel, T Diskin, A Wiesel SPAWC 2017, 1-5, 2017 | 534 | 2017 |
| Learning to detect N Samuel, T Diskin, A Wiesel IEEE Transactions on Signal Processing 67 (10), 2554-2564, 2019 | 530 | 2019 |
| Conditional frechet inception distance M Soloveitchik, T Diskin, E Morin, A Wiesel arXiv preprint arXiv:2103.11521, 2021 | 49 | 2021 |
| Selective suppression of high-order harmonics within phase-matched spectral regions G Lerner, T Diskin, O Neufeld, O Kfir, O Cohen Optics Letters 42 (7), 1349-1352, 2017 | 18 | 2017 |
| Deep robust regression T Diskin, G Draskovic, F Pascal, A Wiesel 2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017 | 14 | 2017 |
| Quasi-phase-matching of only even-order high harmonics T Diskin, O Cohen Optics Express 22 (6), 7145-7153, 2014 | 12 | 2014 |
| Learning to estimate without bias T Diskin, YC Eldar, A Wiesel IEEE Transactions on Signal Processing 71, 2162-2171, 2023 | 11 | 2023 |
| Deep MIMO detection T Diskin, N Samuel, A Wiesel 2017 IEEE 18th International Workshop on Signal Processing Advances in …, 2017 | 11 | 2017 |
| Phase modulation in polarization beating quasi-phase-matching of high-order-harmonic generation T Diskin, O Kfir, A Fleischer, O Cohen Physical Review A 92 (3), 033807, 2015 | 10 | 2015 |
| CFARNet: Deep Learning for Target Detection with constant false alarm rate T Diskin, Y Beer, U Okun, A Wiesel Signal Processing 223, 109543, 2024 | 8 | 2024 |
| Learning to detect with constant false alarm rate T Diskin, U Okun, A Wiesel 2022 IEEE 23rd International Workshop on Signal Processing Advances in …, 2022 | 6 | 2022 |
| Cofga: A Dataset for Fine Grained Classification of Objects from Aerial Imagery E Dahan, T Diskin, A Amram, A Moryossef, O Koren arXiv preprint arXiv:2105.12786, 2021 | 3 | 2021 |
| Does high harmonic generation conserve angular momentum? A Fleischer, O Kfir, T Diskin, P Sidorenko, O Cohen arXiv preprint arXiv:1310.1206, 2013 | 2 | 2013 |
| Self-Supervised Learning for Covariance Estimation T Diskin, A Wiesel 2024 32nd European Signal Processing Conference (EUSIPCO), 2607-2611, 2024 | 1 | 2024 |
| COFGA: Classification Of Fine-Grained Features In Aerial Images E Dahan, T Diskin arXiv preprint arXiv:1808.09001, 2018 | 1 | 2018 |
| Aerial Imagery Redefined: Next-Generation Approach to Object Classification E Dahan, I Aviv, T Diskin Information 16 (2), 134, 2025 | | 2025 |
| On the normalized signal to noise ratio in covariance estimation T Diskin, A Wiesel arXiv preprint arXiv:2409.10896, 2024 | | 2024 |
| Probabilistic Simplex Component Analysis by Importance Sampling N Granot, T Diskin, N Dobigeon, A Wiesel IEEE Signal Processing Letters 30, 683-687, 2023 | | 2023 |
| Learning Minimum Variance Unbiased Estimators T Diskin, YC Eldar, A Wiesel 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2022 | | 2022 |
