Ami Wiesel

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 43

Top Venues

CoRR

IEEE Trans. Signal Process.

ICASSP

IEEE Signal Process. Lett.

Publications

Alon Itai, David Arnon, Ami Wiesel
Learning Minimal Volume Uncertainty Ellipsoids. IEEE Signal Process. Lett. 31 (2024)
Tzvi Diskin, Ami Wiesel
Self-Supervised Learning for Covariance Estimation. CoRR (2024)
Alon Itai, David Arnon, Ami Wiesel
Learning minimal volume uncertainty ellipsoids. CoRR (2024)
Tzvi Diskin, Yiftach Beer, Uri Okun, Ami Wiesel
CFARnet: Deep learning for target detection with constant false alarm rate. Signal Process. 223 (2024)
Tzvi Diskin, Yonina C. Eldar, Ami Wiesel
Learning to Estimate Without Bias. IEEE Trans. Signal Process. 71 (2023)
Nerya Granot, Tzvi Diskin, Nicolas Dobigeon, Ami Wiesel
Probabilistic Simplex Component Analysis by Importance Sampling. IEEE Signal Process. Lett. 30 (2023)
Tzvi Diskin, Uri Okun, Ami Wiesel
Learning to Detect with Constant False Alarm Rate. SPAWC (2022)
Tzvi Diskin, Yiftach Beer, Uri Okun, Ami Wiesel
CFARnet: deep learning for target detection with constant false alarm rate. CoRR (2022)
Tzvi Diskin, Uri Okun, Ami Wiesel
Learning to Detect with Constant False Alarm Rate. CoRR (2022)
Tzvi Diskin, Yonina C. Eldar, Ami Wiesel
Learning Minimum Variance Unbiased Estimators. SAM (2022)
Michael Soloveitchik, Tzvi Diskin, Efrat Morin, Ami Wiesel
Conditional Frechet Inception Distance. CoRR (2021)
Alon Itai, Amir Globerson, Ami Wiesel
On the Optimization Landscape of Maximum Mean Discrepancy. CoRR (2021)
Tzvi Diskin, Yonina C. Eldar, Ami Wiesel
Learning to Estimate Without Bias. CoRR (2021)
Gad Zalcberg, Ami Wiesel
Fair Principal Component Analysis and Filter Design. IEEE Trans. Signal Process. 69 (2021)
Yonatan Woodbridge, Gal Elidan, Ami Wiesel
Convex Nonparanormal Regression. IEEE Signal Process. Lett. 28 (2021)
Yonatan Woodbridge, Gal Elidan, Ami Wiesel
Normalizing Flow Regression. CoRR (2020)
Nisan Chiprut, Amir Globerson, Ami Wiesel
Maximin Optimization for Binary Regression. CoRR (2020)
Gad Zalcberg, Ami Wiesel
Fair Principal Component Analysis and Filter Design. CoRR (2020)
Roy Sheffer, Ami Wiesel
PnP-Net: A hybrid Perspective-n-Point Network. CoRR (2020)
Yotam Gigi, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias, Ami Wiesel
Spectral Algorithm for Shared Low-rank Matrix Regressions. SAM (2020)
Yotam Gigi, Ami Wiesel, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias
Spectral Algorithm for Low-rank Multitask Regression. CoRR (2019)
Sella Nevo, Vova Anisimov, Gal Elidan, Ran El-Yaniv, Pete Giencke, Yotam Gigi, Avinatan Hassidim, Zach Moshe, Mor Schlesinger, Guy Shalev, Ajai Tirumali, Ami Wiesel, Oleg Zlydenko, Yossi Matias
ML for Flood Forecasting at Scale. CoRR (2019)
Yoav Wald, Nofar Noy, Gal Elidan, Ami Wiesel
Globally Optimal Learning for Structured Elliptical Losses. NeurIPS (2019)
Nofar Noy, Yoav Wald, Gal Elidan, Ami Wiesel
Robust multitask Elliptical Regression (ROMER). CAMSAP (2019)
Yonatan Woodbridge, Uri Okun, Gal Elidan, Ami Wiesel
Unmixing K-Gaussians With Application to Hyperspectral Imaging. IEEE Trans. Geosci. Remote. Sens. 57 (9) (2019)
Neev Samuel, Tzvi Diskin, Ami Wiesel
Learning to Detect. IEEE Trans. Signal Process. 67 (10) (2019)
Yotam Gigi, Gal Elidan, Avinatan Hassidim, Yossi Matias, Zach Moshe, Sella Nevo, Guy Shalev, Ami Wiesel
Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many. CoRR (2019)
Neev Samuel, Tzvi Diskin, Ami Wiesel
Learning to Detect. CoRR (2018)
Yonatan Woodbridge, Gal Elidan, Ami Wiesel
Signal Detection in Complex Structured Para Normal Noise. IEEE Trans. Signal Process. 65 (9) (2017)
Tzvi Diskin, Gordana Draskovic, Frédéric Pascal, Ami Wiesel
Deep robust regression. CAMSAP (2017)
Neev Samuel, Tzvi Diskin, Ami Wiesel
Deep MIMO detection. SPAWC (2017)
Neev Samuel, Tzvi Diskin, Ami Wiesel
Deep MIMO Detection. CoRR (2017)
Ilya Soloveychik, Ami Wiesel
Joint Estimation of Inverse Covariance Matrices Lying in an Unknown Subspace. IEEE Trans. Signal Process. 65 (9) (2017)
Amitai Koretz, Ami Wiesel, Yonina C. Eldar
Detection with phaseless measurements. ICASSP (2016)
Antonio De Maio, Danilo Orlando, Ilya Soloveychik, Ami Wiesel
Invariance Theory for Adaptive Detection in Interference With Group Symmetric Covariance Matrix. IEEE Trans. Signal Process. 64 (23) (2016)
Jianshu Zhang, Martin Haardt, Ilya Soloveychik, Ami Wiesel
A channel matching based hybrid analog-digital strategy for massive multi-user MIMO downlink systems. SAM (2016)
Yonatan Woodbridge, Gal Elidan, Ami Wiesel
Signal detection in para complex normal noise. ICASSP (2016)
Yonatan Woodbridge, Gal Elidan, Ami Wiesel
Quaternion structured paranormal distributions. ACSSC (2016)
Teng Zhang, Ami Wiesel
Automatic diagonal loading for Tyler's robust covariance estimator. SSP (2016)
Ilya Soloveychik, Ami Wiesel
Joint Covariance Estimation With Mutual Linear Structure. IEEE Trans. Signal Process. 64 (6) (2016)
Jianshu Zhang, Ami Wiesel, Martin Haardt
Low rank approximation based hybrid precoding schemes for multi-carrier single-user massive MIMO systems. ICASSP (2016)
Eli Peker, Ami Wiesel
Fitting Generalized Multivariate Huber Loss Functions. IEEE Signal Process. Lett. 23 (11) (2016)
Ilya Soloveychik, Dmitry Trushin, Ami Wiesel
Group Symmetric Robust Covariance Estimation. IEEE Trans. Signal Process. 64 (1) (2016)
Ami Wiesel, Teng Zhang
Structured Robust Covariance Estimation. Found. Trends Signal Process. 8 (3) (2015)
Ilya Soloveychik, Ami Wiesel
Joint covariance estimation with mutual linear structure. ICASSP (2015)
Ilya Soloveychik, Ami Wiesel
Performance Analysis of Tyler's Covariance Estimator. IEEE Trans. Signal Process. 63 (2) (2015)
Ilya Soloveychik, Ami Wiesel
Joint inverse covariances estimation with mutual linear structure. EUSIPCO (2015)
Ilya Soloveychik, Ami Wiesel
Tyler's estimator performance analysis. ICASSP (2015)
Alba Sloin, Ami Wiesel
Proper Quaternion Gaussian Graphical Models. IEEE Trans. Signal Process. 62 (20) (2014)
Ilya Soloveychik, Ami Wiesel
Covariance estimation in elliptical models with convex structure. ICASSP (2014)
Zhaoshi Meng, Dennis L. Wei, Ami Wiesel, Alfred O. Hero III
Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models. IEEE Trans. Signal Process. 62 (20) (2014)
Ilya Soloveychik, Ami Wiesel
Tyler's Covariance Matrix Estimator in Elliptical Models With Convex Structure. IEEE Trans. Signal Process. 62 (20) (2014)
Jakob Vovnoboy, Ami Wiesel
Compressed matched filter for non-Gaussian noise. ICASSP (2014)
Teng Zhang, Ami Wiesel, Maria Sabrina Greco
Multivariate Generalized Gaussian Distribution: Convexity and Graphical Models. IEEE Trans. Signal Process. 61 (16) (2013)
Zhaoshi Meng, Dennis L. Wei, Ami Wiesel, Alfred O. Hero III
Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods CoRR (2013)
Zhaoshi Meng, Dennis L. Wei, Alfred O. Hero III, Ami Wiesel
Marginal likelihoods for distributed estimation of graphical model parameters. CAMSAP (2013)
Zhaoshi Meng, Dennis L. Wei, Ami Wiesel, Alfred O. Hero III
Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods. AISTATS (2013)
Kuang-Hung Liu, Ami Wiesel, David C. Munson
Synthetic Aperture Radar Autofocus via Semidefinite Relaxation. IEEE Trans. Image Process. 22 (6) (2013)
Ami Wiesel, Ofir Bibi, Amir Globerson
Time Varying Autoregressive Moving Average Models for Covariance Estimation. IEEE Trans. Signal Process. 61 (11) (2013)
Maria Greco, Fulvio Gini, Ami Wiesel
ML estimate and CRLB of Covariance Matrix for Complex Elliptically Symmetric distribution. EUSIPCO (2013)
Tzu-Yu Liu, Ami Wiesel, Alfred O. Hero III
A sparse multi-class classifier for biomarker screening. GlobalSIP (2013)
Alba Sloin, Ami Wiesel
Gaussian graphical models for proper quaternion distributions. CAMSAP (2013)
Ilya Soloveychik, Ami Wiesel
Group symmetry and non-Gaussian covariance estimation. GlobalSIP (2013)
Peng Yang, Zhao Tan, Ami Wiesel, Arye Nehorai
State estimation with consideration of PMU phase mismatch for smart grids. ISGT (2013)
Jakob Vovnoboy, Ami Wiesel, Wing-Kin Ma
Robust semi-definite relaxation MIMO detection in a non-gaussian channel. ICASSP (2013)
Kuang-Hung Liu, Ami Wiesel, David C. Munson
Synthetic Aperture Radar Autofocus Based on a Bilinear Model. IEEE Trans. Image Process. 21 (5) (2012)
Ami Wiesel
Geodesic Convexity and Covariance Estimation. IEEE Trans. Signal Process. 60 (12) (2012)
Chuanming Wei, Ami Wiesel, Rick S. Blum
Change detection in smart grids using errors in variables models. SAM (2012)
Ami Wiesel, Amir Globerson
Covariance estimation in time varying ARMA processes. SAM (2012)
Ami Wiesel, Alfred O. Hero III
Distributed Covariance Estimation in Gaussian Graphical Models. IEEE Trans. Signal Process. 60 (1) (2012)
Ami Wiesel
On the convexity in Kronecker structured covariance estimation. SSP (2012)
Chuanming Wei, Ami Wiesel, Rick S. Blum
Distributed change detection in Gaussian graphical models. CISS (2012)
Zhaoshi Meng, Ami Wiesel, Alfred O. Hero III
Distributed principal component analysis on networks via directed graphical models. ICASSP (2012)
Ami Wiesel
Unified Framework to Regularized Covariance Estimation in Scaled Gaussian Models. IEEE Trans. Signal Process. 60 (1) (2012)
Ami Wiesel
Regularized covariance estimation in scaled Gaussian models. CAMSAP (2011)
Arnau Tibau Puig, Ami Wiesel, Gilles Fleury, Alfred O. Hero III
Multidimensional Shrinkage-Thresholding Operator and Group LASSO Penalties. IEEE Signal Process. Lett. 18 (6) (2011)
Kuang-Hung Liu, Ami Wiesel, David C. Munson
Maximum likelihood SAR autofocus with low-return region. ICASSP (2011)
Arnau Tibau Puig, Ami Wiesel, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Gilles Fleury, Alfred O. Hero III
Order-Preserving Factor Analysis - Application to Longitudinal Gene Expression. IEEE Trans. Signal Process. 59 (9) (2011)
Yilun Chen, Ami Wiesel, Alfred O. Hero III
Robust Shrinkage Estimation of High-Dimensional Covariance Matrices. IEEE Trans. Signal Process. 59 (9) (2011)
Arnau Tibau Puig, Ami Wiesel, Raj Rao Nadakuditi, Alfred O. Hero III
Misaligned Principal Components Analysis: Application to gene expression time series analysis. ACSCC (2011)
Ami Wiesel, Yonina C. Eldar, Alfred O. Hero III
Covariance estimation in decomposable Gaussian graphical models. IEEE Trans. Signal Process. 58 (3) (2010)
Yilun Chen, Ami Wiesel, Yonina C. Eldar, Alfred O. Hero III
Shrinkage algorithms for MMSE covariance estimation. IEEE Trans. Signal Process. 58 (10) (2010)
Kuang-Hung Liu, Ami Wiesel, David C. Munson
Synthetic Aperture Radar autofocus via Semidefinite Relaxation. ICASSP (2010)
Ami Wiesel, Alfred O. Hero III
Principal component analysis in decomposable Gaussian graphical models. ICASSP (2009)
Ami Wiesel, Alfred O. Hero III
Decomposable principal component analysis. IEEE Trans. Signal Process. 57 (11) (2009)
Yilun Chen, Ami Wiesel, Alfred O. Hero III
Shrinkage estimation of high dimensional covariance matrices. ICASSP (2009)
Ami Wiesel, Yonina C. Eldar, Shlomo Shamai
Zero-Forcing Precoding and Generalized Inverses. IEEE Trans. Signal Process. 56 (9) (2008)
Ami Wiesel, Yonina C. Eldar, Arie Yeredor
Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds. IEEE Trans. Signal Process. 56 (6) (2008)
Ami Wiesel, Yonina C. Eldar, Shlomo Shamai
Optimal Generalized Inverses for Zero Forcing Precoding. CISS (2007)
Ami Wiesel, Yonina C. Eldar, Shlomo Shamai
Optimization of the MIMO Compound Capacity. IEEE Trans. Wirel. Commun. 6 (3) (2007)
Ido Nevat, Ami Wiesel, Jinhong Yuan, Yonina C. Eldar
Maximum A-Posteriori Estimation in Linear Models With a Gaussian Model Matrix. CISS (2007)
Ashish Khisti, Gregory W. Wornell, Ami Wiesel, Yonina C. Eldar
On the Gaussian MIMO Wiretap Channel. ISIT (2007)
Ami Wiesel, Yonina C. Eldar, Shlomo Shamai
Linear transmitter design for the MISO compound channel with interference. EUSIPCO (2006)
Ami Wiesel, Yonina C. Eldar
Maximum Likelihood Estimation in Random Linear Models: Generalizations and Performance Analysis. ICASSP (5) (2006)
Ami Wiesel, Jason Goldberg, Hagit Messer-Yaron
SNR estimation in time-varying fading channels. IEEE Trans. Commun. 54 (5) (2006)
Miquel Payaró, Ami Wiesel, Jinhong Yuan, Miguel Angel Lagunas
On the Capacity of Linear Vector Gaussian Channels with Magnitude Knowledge and Phase Uncertainty. ICASSP (4) (2006)
Ami Wiesel, Yonina C. Eldar, Shlomo Shamai
Linear precoding via conic optimization for fixed MIMO receivers. IEEE Trans. Signal Process. 54 (1) (2006)
Ami Wiesel, Yonina C. Eldar, Amir Beck
Maximum likelihood estimation in linear models with a Gaussian model matrix. IEEE Signal Process. Lett. 13 (5) (2006)
Ami Wiesel, Yonina C. Eldar, Shlomo Shamai Shitz
Semidefinite Relaxation for Detection of 16-QAM Signaling in MIMO Channels. IEEE Signal Process. Lett. 12 (9) (2005)
Moshe Salhov, Ami Wiesel, Yonina C. Eldar
Robust peak distortion equalization. ICASSP (4) (2004)

Ami Wiesel.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ami Wiesel