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Elad Romanov
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2020 – today
- 2023
- [j6]Elad Romanov, Gil Kur, Boaz Nadler:
Tyler's and Maronna's M-estimators: Non-asymptotic concentration results. J. Multivar. Anal. 196: 105184 (2023) - [i10]Elad Romanov:
On the Noise Sensitivity of the Randomized SVD. CoRR abs/2305.17435 (2023) - 2022
- [c3]Elad Romanov, Or Ordentlich:
Spiked Covariance Estimation from Modulo-Reduced Measurements. AISTATS 2022: 1298-1320 - [c2]Elad Romanov, Tamir Bendory, Or Ordentlich:
On the Role of Channel Capacity in Learning Gaussian Mixture Models. COLT 2022: 4110-4159 - [i9]Elad Romanov, Tamir Bendory, Or Ordentlich:
On the Role of Channel Capacity in Learning Gaussian Mixture Models. CoRR abs/2202.07707 (2022) - [i8]Matan Gavish, William E. Leeb, Elad Romanov:
Matrix Denoising with Partial Noise Statistics: Optimal Singular Value Shrinkage of Spiked F-Matrices. CoRR abs/2211.00986 (2022) - 2021
- [b1]Elad Romanov:
Selected Problems in Signal Estimation and Recovery : By Elad Romanov. (כותר נוסף בעברית: בעיות נבחרות בשערוך אותות). Hebrew University of Jerusalem, Israel, 2021 - [j5]Elad Romanov, Or Ordentlich:
On Compressed Sensing of Binary Signals for the Unsourced Random Access Channel. Entropy 23(5): 605 (2021) - [j4]Elad Romanov, Tamir Bendory, Or Ordentlich:
Multi-Reference Alignment in High Dimensions: Sample Complexity and Phase Transition. SIAM J. Math. Data Sci. 3(2): 494-523 (2021) - [j3]Elad Romanov, Or Ordentlich:
Blind Unwrapping of Modulo Reduced Gaussian Vectors: Recovering MSBs From LSBs. IEEE Trans. Inf. Theory 67(3): 1897-1919 (2021) - [j2]William E. Leeb, Elad Romanov:
Optimal Spectral Shrinkage and PCA With Heteroscedastic Noise. IEEE Trans. Inf. Theory 67(5): 3009-3037 (2021) - [i7]Elad Romanov, Or Ordentlich:
On Compressed Sensing of Binary Signals for the Unsourced Random Access Channel. CoRR abs/2105.05350 (2021) - [i6]Elad Romanov, Or Ordentlich:
Spiked Covariance Estimation from Modulo-Reduced Measurements. CoRR abs/2110.01150 (2021) - 2020
- [i5]Elad Romanov, Tamir Bendory, Or Ordentlich:
Multi-reference alignment in high dimensions: sample complexity and phase transition. CoRR abs/2007.11482 (2020)
2010 – 2019
- 2019
- [j1]Elad Romanov, Or Ordentlich:
Above the Nyquist Rate, Modulo Folding Does Not Hurt. IEEE Signal Process. Lett. 26(8): 1167-1171 (2019) - [c1]Elad Romanov, Or Ordentlich:
Blind Unwrapping of Modulo Reduced Gaussian Vectors: Recovering MSBs from LSBs. ISIT 2019: 2329-2333 - [i4]Elad Romanov, Or Ordentlich:
Blind Unwrapping of Modulo Reduced Gaussian Vectors: Recovering MSBs from LSBs. CoRR abs/1901.10396 (2019) - [i3]Elad Romanov, Or Ordentlich:
Above the Nyquist Rate, Modulo Folding Does Not Hurt. CoRR abs/1903.12289 (2019) - 2018
- [i2]Elad Romanov, Matan Gavish:
The Noise-Sensitivity Phase Transition in Spectral Group Synchronization Over Compact Groups. CoRR abs/1803.03287 (2018) - 2017
- [i1]Elad Romanov, Matan Gavish:
Near-optimal matrix recovery from random linear measurements. CoRR abs/1705.09958 (2017)
Coauthor Index
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