Near-optimal matrix recovery from random linear measurements. - Elad Romanov; Matan Gavish (CoRR, 2017)

The Noise-Sensitivity Phase Transition in Spectral Group Synchronization Over Compact Groups. - Elad Romanov; Matan Gavish (CoRR, 2018)

Above the Nyquist Rate, Modulo Folding Does Not Hurt. - Elad Romanov; Or Ordentlich (IEEE Signal Process. Lett., 2019)

On Compressed Sensing of Binary Signals for the Unsourced Random Access Channel. - Elad Romanov; Or Ordentlich (Entropy, 2021)

Multi-Reference Alignment in High Dimensions: Sample Complexity and Phase Transition. - Elad Romanov; Tamir Bendory; Or Ordentlich (SIAM J. Math. Data Sci., 2021)

Optimal Spectral Shrinkage and PCA With Heteroscedastic Noise. - William E. Leeb; Elad Romanov (IEEE Trans. Inf. Theory, 2021)

Blind Unwrapping of Modulo Reduced Gaussian Vectors: Recovering MSBs From LSBs. - Elad Romanov; Or Ordentlich (IEEE Trans. Inf. Theory, 2021)

Selected Problems in Signal Estimation and Recovery : By Elad Romanov. (כותר נוסף בעברית: בעיות נבחרות בשערוך אותות). - Elad Romanov (2021)

Spiked Covariance Estimation from Modulo-Reduced Measurements. - Elad Romanov; Or Ordentlich (AISTATS, 2022)

On the Role of Channel Capacity in Learning Gaussian Mixture Models. - Elad Romanov; Tamir Bendory; Or Ordentlich (COLT, 2022)

Matrix Denoising with Partial Noise Statistics: Optimal Singular Value Shrinkage of Spiked F-Matrices. - Matan Gavish; William E. Leeb; Elad Romanov (CoRR, 2022)

Tyler's and Maronna's M-estimators: Non-asymptotic concentration results. - Elad Romanov; Gil Kur; Boaz Nadler (J. Multivar. Anal., 2023)

Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing. - Elad Romanov; Fangzhao Zhang; Mert Pilanci (ICLR, 2025)

On the Noise Sensitivity of the Randomized SVD. - Elad Romanov (IEEE Trans. Inf. Theory, 2025)