Data-Aided Signal-to-Noise-Ratio estimation in time selective fading channels. - Ami Wiesel; Jason Goldberg; Hagit Messer (ICASSP, 2002)

Non-data-aided signal-to-noise-ratio estimation. - Ami Wiesel; Jason Goldberg; Hagit Messer (ICC, 2002)

Turbo equalization and demodulation of multicode space time codes. - Ami Wiesel; Xavier Mestre; Alba Pagès-Zamora; Javier Rodríguez Fonollosa (ICC, 2003)

A robust maximum likelihood multiuser detector in the presence of signature uncertainties. - Moshe Salhov; Ami Wiesel; Yonina C. Eldar (EUSIPCO, 2004)

Robust peak distortion equalization. - Moshe Salhov; Ami Wiesel; Yonina C. Eldar (ICASSP (4), 2004)

Linear MIMO precoders for fixed receivers. - Ami Wiesel; Yonina C. Eldar; Shlomo Shamai (ICASSP (4), 2004)

Semidefinite Relaxation for Detection of 16-QAM Signaling in MIMO Channels. - Ami Wiesel; Yonina C. Eldar; Shlomo Shamai Shitz (IEEE Signal Process. Lett., 2005)

Linear transmitter design for the MISO compound channel with interference. - Ami Wiesel; Yonina C. Eldar; Shlomo Shamai (EUSIPCO, 2006)

On the Capacity of Linear Vector Gaussian Channels with Magnitude Knowledge and Phase Uncertainty. - Miquel Payaró; Ami Wiesel; Jinhong Yuan; Miguel Angel Lagunas (ICASSP (4), 2006)

Maximum Likelihood Estimation in Random Linear Models: Generalizations and Performance Analysis. - Ami Wiesel; Yonina C. Eldar (ICASSP (5), 2006)

Maximum likelihood estimation in linear models with a Gaussian model matrix. - Ami Wiesel; Yonina C. Eldar; Amir Beck (IEEE Signal Process. Lett., 2006)

SNR estimation in time-varying fading channels. - Ami Wiesel; Jason Goldberg; Hagit Messer-Yaron (IEEE Trans. Commun., 2006)

Linear precoding via conic optimization for fixed MIMO receivers. - Ami Wiesel; Yonina C. Eldar; Shlomo Shamai (IEEE Trans. Signal Process., 2006)

Maximum A-Posteriori Estimation in Linear Models With a Gaussian Model Matrix. - Ido Nevat; Ami Wiesel; Jinhong Yuan; Yonina C. Eldar (CISS, 2007)

Optimal Generalized Inverses for Zero Forcing Precoding. - Ami Wiesel; Yonina C. Eldar; Shlomo Shamai (CISS, 2007)

On the Gaussian MIMO Wiretap Channel. - Ashish Khisti; Gregory W. Wornell; Ami Wiesel; Yonina C. Eldar (ISIT, 2007)

Optimization of the MIMO Compound Capacity. - Ami Wiesel; Yonina C. Eldar; Shlomo Shamai (IEEE Trans. Wirel. Commun., 2007)

Zero-Forcing Precoding and Generalized Inverses. - Ami Wiesel; Yonina C. Eldar; Shlomo Shamai (IEEE Trans. Signal Process., 2008)

Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds. - Ami Wiesel; Yonina C. Eldar; Arie Yeredor (IEEE Trans. Signal Process., 2008)

Shrinkage estimation of high dimensional covariance matrices. - Yilun Chen; Ami Wiesel; Alfred O. Hero III (ICASSP, 2009)

Principal component analysis in decomposable Gaussian graphical models. - Ami Wiesel; Alfred O. Hero III (ICASSP, 2009)

Decomposable principal component analysis. - Ami Wiesel; Alfred O. Hero III (IEEE Trans. Signal Process., 2009)

Shrinkage algorithms for MMSE covariance estimation. - Yilun Chen; Ami Wiesel; Yonina C. Eldar; Alfred O. Hero III (IEEE Trans. Signal Process., 2010)

Covariance estimation in decomposable Gaussian graphical models. - Ami Wiesel; Yonina C. Eldar; Alfred O. Hero III (IEEE Trans. Signal Process., 2010)

Misaligned Principal Components Analysis: Application to gene expression time series analysis. - Arnau Tibau Puig; Ami Wiesel; Raj Rao Nadakuditi; Alfred O. Hero III (ACSCC, 2011)

Regularized covariance estimation in scaled Gaussian models. - Ami Wiesel (CAMSAP, 2011)

Maximum likelihood SAR autofocus with low-return region. - Kuang-Hung Liu; Ami Wiesel; David C. Munson (ICASSP, 2011)

Multidimensional Shrinkage-Thresholding Operator and Group LASSO Penalties. - Arnau Tibau Puig; Ami Wiesel; Gilles Fleury; Alfred O. Hero III (IEEE Signal Process. Lett., 2011)

Robust Shrinkage Estimation of High-Dimensional Covariance Matrices. - Yilun Chen; Ami Wiesel; Alfred O. Hero III (IEEE Trans. Signal Process., 2011)

Order-Preserving Factor Analysis - Application to Longitudinal Gene Expression. - Arnau Tibau Puig; Ami Wiesel; Aimee K. Zaas; Christopher W. Woods; Geoffrey S. Ginsburg; Gilles Fleury; Alfred O. Hero III (IEEE Trans. Signal Process., 2011)

Distributed change detection in Gaussian graphical models. - Chuanming Wei; Ami Wiesel; Rick S. Blum (CISS, 2012)

Distributed principal component analysis on networks via directed graphical models. - Zhaoshi Meng; Ami Wiesel; Alfred O. Hero III (ICASSP, 2012)

Change detection in smart grids using errors in variables models. - Chuanming Wei; Ami Wiesel; Rick S. Blum (SAM, 2012)

Covariance estimation in time varying ARMA processes. - Ami Wiesel; Amir Globerson (SAM, 2012)

On the convexity in Kronecker structured covariance estimation. - Ami Wiesel (SSP, 2012)

Synthetic Aperture Radar Autofocus Based on a Bilinear Model. - Kuang-Hung Liu; Ami Wiesel; David C. Munson (IEEE Trans. Image Process., 2012)

Unified Framework to Regularized Covariance Estimation in Scaled Gaussian Models. - Ami Wiesel (IEEE Trans. Signal Process., 2012)

Geodesic Convexity and Covariance Estimation. - Ami Wiesel (IEEE Trans. Signal Process., 2012)

Distributed Covariance Estimation in Gaussian Graphical Models. - Ami Wiesel; Alfred O. Hero III (IEEE Trans. Signal Process., 2012)

Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods. - Zhaoshi Meng; Dennis L. Wei; Ami Wiesel; Alfred O. Hero III (AISTATS, 2013)

Marginal likelihoods for distributed estimation of graphical model parameters. - Zhaoshi Meng; Dennis L. Wei; Alfred O. Hero III; Ami Wiesel (CAMSAP, 2013)

Gaussian graphical models for proper quaternion distributions. - Alba Sloin; Ami Wiesel (CAMSAP, 2013)

ML estimate and CRLB of Covariance Matrix for Complex Elliptically Symmetric distribution. - Maria Greco 001; Fulvio Gini; Ami Wiesel (EUSIPCO, 2013)

A sparse multi-class classifier for biomarker screening. - Tzu-Yu Liu; Ami Wiesel; Alfred O. Hero III (GlobalSIP, 2013)

Group symmetry and non-Gaussian covariance estimation. - Ilya Soloveychik; Ami Wiesel (GlobalSIP, 2013)

Robust semi-definite relaxation MIMO detection in a non-gaussian channel. - Jakob Vovnoboy; Ami Wiesel; Wing-Kin Ma (ICASSP, 2013)

State estimation with consideration of PMU phase mismatch for smart grids. - Peng Yang 006; Zhao Tan; Ami Wiesel; Arye Nehorai (ISGT, 2013)

Synthetic Aperture Radar Autofocus via Semidefinite Relaxation. - Kuang-Hung Liu; Ami Wiesel; David C. Munson (IEEE Trans. Image Process., 2013)

Time Varying Autoregressive Moving Average Models for Covariance Estimation. - Ami Wiesel; Ofir Bibi; Amir Globerson (IEEE Trans. Signal Process., 2013)

Multivariate Generalized Gaussian Distribution: Convexity and Graphical Models. - Teng Zhang; Ami Wiesel; Maria Sabrina Greco (IEEE Trans. Signal Process., 2013)

Covariance estimation in elliptical models with convex structure. - Ilya Soloveychik; Ami Wiesel (ICASSP, 2014)

Compressed matched filter for non-Gaussian noise. - Jakob Vovnoboy; Ami Wiesel (ICASSP, 2014)

Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models. - Zhaoshi Meng; Dennis L. Wei; Ami Wiesel; Alfred O. Hero III (IEEE Trans. Signal Process., 2014)

Proper Quaternion Gaussian Graphical Models. - Alba Sloin; Ami Wiesel (IEEE Trans. Signal Process., 2014)

Tyler's Covariance Matrix Estimator in Elliptical Models With Convex Structure. - Ilya Soloveychik; Ami Wiesel (IEEE Trans. Signal Process., 2014)

Joint inverse covariances estimation with mutual linear structure. - Ilya Soloveychik; Ami Wiesel (EUSIPCO, 2015)

Tyler's estimator performance analysis. - Ilya Soloveychik; Ami Wiesel (ICASSP, 2015)

Structured Robust Covariance Estimation. - Ami Wiesel; Teng Zhang (Found. Trends Signal Process., 2015)

Performance Analysis of Tyler's Covariance Estimator. - Ilya Soloveychik; Ami Wiesel (IEEE Trans. Signal Process., 2015)

Quaternion structured paranormal distributions. - Yonatan Woodbridge; Gal Elidan; Ami Wiesel (ACSSC, 2016)

Detection with phaseless measurements. - Amitai Koretz; Ami Wiesel; Yonina C. Eldar (ICASSP, 2016)

Signal detection in para complex normal noise. - Yonatan Woodbridge; Gal Elidan; Ami Wiesel (ICASSP, 2016)

Low rank approximation based hybrid precoding schemes for multi-carrier single-user massive MIMO systems. - Jianshu Zhang 002; Ami Wiesel; Martin Haardt (ICASSP, 2016)

A channel matching based hybrid analog-digital strategy for massive multi-user MIMO downlink systems. - Jianshu Zhang 002; Martin Haardt; Ilya Soloveychik; Ami Wiesel (SAM, 2016)

Automatic diagonal loading for Tyler's robust covariance estimator. - Teng Zhang; Ami Wiesel (SSP, 2016)

Fitting Generalized Multivariate Huber Loss Functions. - Eli Peker; Ami Wiesel (IEEE Signal Process. Lett., 2016)

Invariance Theory for Adaptive Detection in Interference With Group Symmetric Covariance Matrix. - Antonio De Maio; Danilo Orlando; Ilya Soloveychik; Ami Wiesel (IEEE Trans. Signal Process., 2016)

Group Symmetric Robust Covariance Estimation. - Ilya Soloveychik; Dmitry Trushin; Ami Wiesel (IEEE Trans. Signal Process., 2016)

Joint Covariance Estimation With Mutual Linear Structure. - Ilya Soloveychik; Ami Wiesel (IEEE Trans. Signal Process., 2016)

Deep robust regression. - Tzvi Diskin; Gordana Draskovic; Frédéric Pascal 001; Ami Wiesel (CAMSAP, 2017)

Deep MIMO detection. - Neev Samuel; Tzvi Diskin; Ami Wiesel (SPAWC, 2017)

Joint Estimation of Inverse Covariance Matrices Lying in an Unknown Subspace. - Ilya Soloveychik; Ami Wiesel (IEEE Trans. Signal Process., 2017)

Signal Detection in Complex Structured Para Normal Noise. - Yonatan Woodbridge; Gal Elidan; Ami Wiesel (IEEE Trans. Signal Process., 2017)

Robust multitask Elliptical Regression (ROMER). - Nofar Noy; Yoav Wald; Gal Elidan; Ami Wiesel (CAMSAP, 2019)

Globally Optimal Learning for Structured Elliptical Losses. - Yoav Wald; Nofar Noy; Gal Elidan; Ami Wiesel (NeurIPS, 2019)

Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many. - Yotam Gigi; Gal Elidan; Avinatan Hassidim; Yossi Matias; Zach Moshe; Sella Nevo; Guy Shalev; Ami Wiesel (CoRR, 2019)

ML for Flood Forecasting at Scale. - 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; et al. (CoRR, 2019)

Spectral Algorithm for Low-rank Multitask Regression. - Yotam Gigi; Ami Wiesel; Sella Nevo; Gal Elidan; Avinatan Hassidim; Yossi Matias (CoRR, 2019)

Unmixing K-Gaussians With Application to Hyperspectral Imaging. - Yonatan Woodbridge; Uri Okun; Gal Elidan; Ami Wiesel (IEEE Trans. Geosci. Remote. Sens., 2019)

Learning to Detect. - Neev Samuel; Tzvi Diskin; Ami Wiesel (IEEE Trans. Signal Process., 2019)

Spectral Algorithm for Shared Low-rank Matrix Regressions. - Yotam Gigi; Sella Nevo; Gal Elidan; Avinatan Hassidim; Yossi Matias; Ami Wiesel (SAM, 2020)

PnP-Net: A hybrid Perspective-n-Point Network. - Roy Sheffer; Ami Wiesel (CoRR, 2020)

Normalizing Flow Regression. - Yonatan Woodbridge; Gal Elidan; Ami Wiesel (CoRR, 2020)

Maximin Optimization for Binary Regression. - Nisan Chiprut; Amir Globerson; Ami Wiesel (CoRR, 2020)

Conditional Frechet Inception Distance. - Michael Soloveitchik; Tzvi Diskin; Efrat Morin; Ami Wiesel (CoRR, 2021)

On the Optimization Landscape of Maximum Mean Discrepancy. - Alon Itai; Amir Globerson; Ami Wiesel (CoRR, 2021)

Convex Nonparanormal Regression. - Yonatan Woodbridge; Gal Elidan; Ami Wiesel (IEEE Signal Process. Lett., 2021)

Fair Principal Component Analysis and Filter Design. - Gad Zalcberg; Ami Wiesel (IEEE Trans. Signal Process., 2021)

Learning Minimum Variance Unbiased Estimators. - Tzvi Diskin; Yonina C. Eldar; Ami Wiesel (SAM, 2022)

Learning to Detect with Constant False Alarm Rate. - Tzvi Diskin; Uri Okun; Ami Wiesel (SPAWC, 2022)

Probabilistic Simplex Component Analysis by Importance Sampling. - Nerya Granot; Tzvi Diskin; Nicolas Dobigeon; Ami Wiesel (IEEE Signal Process. Lett., 2023)

Learning to Estimate Without Bias. - Tzvi Diskin; Yonina C. Eldar; Ami Wiesel (IEEE Trans. Signal Process., 2023)

Self-Supervised Learning for Covariance Estimation. - Tzvi Diskin; Ami Wiesel (EUSIPCO, 2024)

CFARnet: Deep learning for target detection with constant false alarm rate. - Tzvi Diskin; Yiftach Beer; Uri Okun; Ami Wiesel (Signal Process., 2024)

Learning Minimal Volume Uncertainty Ellipsoids. - Alon Itai; David Arnon; Ami Wiesel (IEEE Signal Process. Lett., 2024)

Comparing KL Divergence and MSE for Covariance Estimation in Target Detection. - Daniel Busbib; Tzvi Diskin; Ami Wiesel (SSP, 2025)