Zvika Ben-Haim

According to our database, Zvika Ben-Haim authored at least 20 papers between 2005 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Guy Shalev, Hila Noga, Ira Shavitt, Liora Yuklea, Moriah Royz, Niv Giladi, Nofar Peled Levi, Ofir Reich, Oren Gilon, Ronnie Maor, Shahar Timnat, Tal Shechter, Vladimir Anisimov, Yotam Gigi, Yuval Levin, Zach Moshe, Zvika Ben-Haim, Avinatan Hassidim, Yossi Matias

CoRR, 2021

Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling.

Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Inundation Modeling in Data Scarce Regions.

Zvika Ben-Haim, Vladimir Anisimov, Aaron Yonas, Varun Gulshan, Yusef Shafi, Stephan Hoyer, Sella Nevo

CoRR, 2019

2014

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

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

Sampling at the rate of innovation: theory and applications.

Jose Antonio Urigüen, Yonina C. Eldar, Pier Luigi Dragotti, Zvika Ben-Haim

Proceedings of the Compressed Sensing, 2012

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

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

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

The Cramér-Rao bound for estimating a sparse parameter vector.

Zvika Ben-Haim, Yonina C. Eldar

IEEE Trans. Signal Process., 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

On unbiased estimation of sparse vectors corrupted by Gaussian noise.

Alexander Jung, Zvika Ben-Haim, Franz Hlawatsch, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2010

Coherence-based near-oracle performance guarantees for sparse estimation under Gaussian noise.

Zvika Ben-Haim, Yonina C. Eldar, Michael Elad

Proceedings of the IEEE International Conference on Acoustics, 2010

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

On the Constrained CramÉr-Rao Bound With a Singular Fisher Information Matrix.

Zvika Ben-Haim, Yonina C. Eldar

IEEE Signal Process. Lett., 2009

The Cramer-Rao Bound for Sparse Estimation.

Zvika Ben-Haim, Yonina C. Eldar

CoRR, 2009

2008

A Comment on the Weiss-Weinstein Bound for Constrained Parameter Sets.

Zvika Ben-Haim, Yonina C. Eldar

IEEE Trans. Inf. Theory, 2008

2007

Blind Minimax Estimation.

Zvika Ben-Haim, Yonina C. Eldar

IEEE Trans. Inf. Theory, 2007

2005

Maximum set estimators with bounded estimation error.

Zvika Ben-Haim, Yonina C. Eldar

IEEE Trans. Signal Process., 2005

Minimax estimators dominating the least-squares estimator.

Zvika Ben-Haim, Yonina C. Eldar

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005