Minimax estimators dominating the least-squares estimator. - Zvika Ben-Haim; Yonina C. Eldar (ICASSP (4), 2005)

Maximum set estimators with bounded estimation error. - Zvika Ben-Haim; Yonina C. Eldar (IEEE Trans. Signal Process., 2005)

Blind Minimax Estimation. - Zvika Ben-Haim; Yonina C. Eldar (IEEE Trans. Inf. Theory, 2007)

A Comment on the Weiss-Weinstein Bound for Constrained Parameter Sets. - Zvika Ben-Haim; Yonina C. Eldar (IEEE Trans. Inf. Theory, 2008)

The Cramer-Rao Bound for Sparse Estimation. - Zvika Ben-Haim; Yonina C. Eldar (CoRR, 2009)

On the Constrained CramÉr-Rao Bound With a Singular Fisher Information Matrix. - Zvika Ben-Haim; Yonina C. Eldar (IEEE Signal Process. Lett., 2009)

A lower bound on the Bayesian MSE based on the optimal bias function. - Zvika Ben-Haim; Yonina C. Eldar (IEEE Trans. Inf. Theory, 2009)

Coherence-based near-oracle performance guarantees for sparse estimation under Gaussian noise. - Zvika Ben-Haim; Yonina C. Eldar; Michael Elad (ICASSP, 2010)

On unbiased estimation of sparse vectors corrupted by Gaussian noise. - Alexander Jung; Zvika Ben-Haim; Franz Hlawatsch; Yonina C. Eldar (ICASSP, 2010)

A Lower Bound on the Estimator Variance for the Sparse Linear Model - Sebastian Schmutzhard; Alexander Jung; Franz Hlawatsch; Zvika Ben-Haim; Yonina C. Eldar (CoRR, 2010)

The Cramér-Rao bound for estimating a sparse parameter vector. - Zvika Ben-Haim; Yonina C. Eldar (IEEE Trans. Signal Process., 2010)

Coherence-based performance guarantees for estimating a sparse vector under random noise. - Zvika Ben-Haim; Yonina C. Eldar; Michael Elad (IEEE Trans. Signal Process., 2010)

Near-Oracle Performance of Greedy Block-Sparse Estimation Techniques From Noisy Measurements. - Zvika Ben-Haim; Yonina C. Eldar (IEEE J. Sel. Top. Signal Process., 2011)

Unbiased Estimation of a Sparse Vector in White Gaussian Noise. - Alexander Jung; Zvika Ben-Haim; Franz Hlawatsch; Yonina C. Eldar (IEEE Trans. Inf. Theory, 2011)

Sampling at the rate of innovation: theory and applications. - Jose Antonio Urigüen; Yonina C. Eldar; Pier Luigi Dragotti; Zvika Ben-Haim (Compressed Sensing, 2012)

Performance Bounds and Design Criteria for Estimating Finite Rate of Innovation Signals. - Zvika Ben-Haim; Tomer Michaeli; Yonina C. Eldar (IEEE Trans. Inf. Theory, 2012)

Minimum Variance Estimation of a Sparse Vector Within the Linear Gaussian Model: An RKHS Approach. - Alexander Jung; Sebastian Schmutzhard; Franz Hlawatsch; Zvika Ben-Haim; Yonina C. Eldar (IEEE Trans. Inf. Theory, 2014)

Inundation Modeling in Data Scarce Regions. - Zvika Ben-Haim; Vladimir Anisimov; Aaron Yonas; Varun Gulshan; Yusef Shafi; Stephan Hoyer; Sella Nevo (CoRR, 2019)

Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling. - Niv Giladi; Zvika Ben-Haim; Sella Nevo; Yossi Matias; Daniel Soudry (NeurIPS, 2021)

Flood forecasting with machine learning models in an operational framework. - Sella Nevo; Efrat Morin; Adi Gerzi Rosenthal; Asher Metzger; Chen Barshai; Dana Weitzner; Dafi Voloshin; Frederik Kratzert; Gal Elidan; Gideon Dror; Gregory Begelman; Grey Nearing; et al. (CoRR, 2021)

Leveraging LLM Inconsistency to Boost Pass@k Performance. - Uri Dalal; Meirav Segal; Zvika Ben-Haim; Dan Lahav; Omer Nevo (CoRR, 2025)