Ami Wiesel - RankMe

109 papers A* 1A 1B 1Misc 18Journal 57Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Comparing KL Divergence and MSE for Covariance Estimation in Target Detection. SSP Daniel Busbib, Tzvi Diskin, Ami Wiesel
2025	J	`jnl`	Estimation of Toeplitz Covariance Matrices using Overparameterized Gradient Descent. CoRR Daniel Busbib, Ami Wiesel
2025	—	`conf`	Toeplitz Covariance Estimation via Overparametrized Gradient Descent. CAMSAP Daniel Busbib, Ami Wiesel
2024	J	`jnl`	CFARnet: Deep learning for target detection with constant false alarm rate. Signal Process. Tzvi Diskin, Yiftach Beer, Uri Okun, Ami Wiesel
2024	J	`jnl`	Learning Minimal Volume Uncertainty Ellipsoids. IEEE Signal Process. Lett. Alon Itai, David Arnon, Ami Wiesel
2024	J	`jnl`	Learning minimal volume uncertainty ellipsoids. CoRR Alon Itai, David Arnon, Ami Wiesel
2024	—	`conf`	Self-Supervised Learning for Covariance Estimation. EUSIPCO Tzvi Diskin, Ami Wiesel
2024	J	`jnl`	Self-Supervised Learning for Covariance Estimation. CoRR Tzvi Diskin, Ami Wiesel
2023	J	`jnl`	Learning to Estimate Without Bias. IEEE Trans. Signal Process. Tzvi Diskin, Yonina C. Eldar, Ami Wiesel
2023	J	`jnl`	Probabilistic Simplex Component Analysis by Importance Sampling. IEEE Signal Process. Lett. Nerya Granot, Tzvi Diskin, Nicolas Dobigeon, Ami Wiesel
2022	J	`jnl`	CFARnet: deep learning for target detection with constant false alarm rate. CoRR Tzvi Diskin, Yiftach Beer, Uri Okun, Ami Wiesel
2022	—	`conf`	Learning Minimum Variance Unbiased Estimators. SAM Tzvi Diskin, Yonina C. Eldar, Ami Wiesel
2022	—	`conf`	Learning to Detect with Constant False Alarm Rate. SPAWC Tzvi Diskin, Uri Okun, Ami Wiesel
2022	J	`jnl`	Learning to Detect with Constant False Alarm Rate. CoRR Tzvi Diskin, Uri Okun, Ami Wiesel
2021	J	`jnl`	Conditional Frechet Inception Distance. CoRR Michael Soloveitchik, Tzvi Diskin, Efrat Morin, Ami Wiesel
2021	J	`jnl`	Convex Nonparanormal Regression. IEEE Signal Process. Lett. Yonatan Woodbridge, Gal Elidan, Ami Wiesel
2021	J	`jnl`	Fair Principal Component Analysis and Filter Design. IEEE Trans. Signal Process. Gad Zalcberg, Ami Wiesel
2021	J	`jnl`	Learning to Estimate Without Bias. CoRR Tzvi Diskin, Yonina C. Eldar, Ami Wiesel
2021	J	`jnl`	On the Optimization Landscape of Maximum Mean Discrepancy. CoRR Alon Itai, Amir Globerson, Ami Wiesel
2020	J	`jnl`	Fair Principal Component Analysis and Filter Design. CoRR Gad Zalcberg, Ami Wiesel
2020	J	`jnl`	Maximin Optimization for Binary Regression. CoRR Nisan Chiprut, Amir Globerson, Ami Wiesel
2020	J	`jnl`	Normalizing Flow Regression. CoRR Yonatan Woodbridge, Gal Elidan, Ami Wiesel
2020	J	`jnl`	PnP-Net: A hybrid Perspective-n-Point Network. CoRR Roy Sheffer, Ami Wiesel
2020	—	`conf`	Spectral Algorithm for Shared Low-rank Matrix Regressions. SAM Yotam Gigi, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias, Ami Wiesel
2019	A*	`conf`	Globally Optimal Learning for Structured Elliptical Losses. NeurIPS Yoav Wald, Nofar Noy, Gal Elidan, Ami Wiesel
2019	J	`jnl`	Learning to Detect. IEEE Trans. Signal Process. Neev Samuel, Tzvi Diskin, Ami Wiesel
2019	J	`jnl`	ML for Flood Forecasting at Scale. CoRR 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
2019	—	`conf`	Robust multitask Elliptical Regression (ROMER). CAMSAP Nofar Noy, Yoav Wald, Gal Elidan, Ami Wiesel
2019	J	`jnl`	Spectral Algorithm for Low-rank Multitask Regression. CoRR Yotam Gigi, Ami Wiesel, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias
2019	J	`jnl`	Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many. CoRR Yotam Gigi, Gal Elidan, Avinatan Hassidim, Yossi Matias, Zach Moshe, Sella Nevo, Guy Shalev, Ami Wiesel
2019	J	`jnl`	Unmixing K-Gaussians With Application to Hyperspectral Imaging. IEEE Trans. Geosci. Remote. Sens. Yonatan Woodbridge, Uri Okun, Gal Elidan, Ami Wiesel
2018	J	`jnl`	Learning to Detect. CoRR Neev Samuel, Tzvi Diskin, Ami Wiesel
2017	J	`jnl`	Deep MIMO Detection. CoRR Neev Samuel, Tzvi Diskin, Ami Wiesel
2017	—	`conf`	Deep MIMO detection. SPAWC Neev Samuel, Tzvi Diskin, Ami Wiesel
2017	—	`conf`	Deep robust regression. CAMSAP Tzvi Diskin, Gordana Draskovic, Frédéric Pascal, Ami Wiesel
2017	J	`jnl`	Joint Estimation of Inverse Covariance Matrices Lying in an Unknown Subspace. IEEE Trans. Signal Process. Ilya Soloveychik, Ami Wiesel
2017	J	`jnl`	Signal Detection in Complex Structured Para Normal Noise. IEEE Trans. Signal Process. Yonatan Woodbridge, Gal Elidan, Ami Wiesel
2016	—	`conf`	A channel matching based hybrid analog-digital strategy for massive multi-user MIMO downlink systems. SAM Jianshu Zhang, Martin Haardt, Ilya Soloveychik, Ami Wiesel
2016	—	`conf`	Automatic diagonal loading for Tyler's robust covariance estimator. SSP Teng Zhang, Ami Wiesel
2016	Misc	`conf`	Detection with phaseless measurements. ICASSP Amitai Koretz, Ami Wiesel, Yonina C. Eldar
2016	J	`jnl`	Fitting Generalized Multivariate Huber Loss Functions. IEEE Signal Process. Lett. Eli Peker, Ami Wiesel
2016	J	`jnl`	Group Symmetric Robust Covariance Estimation. IEEE Trans. Signal Process. Ilya Soloveychik, Dmitry Trushin, Ami Wiesel
2016	J	`jnl`	Invariance Theory for Adaptive Detection in Interference With Group Symmetric Covariance Matrix. IEEE Trans. Signal Process. Antonio De Maio, Danilo Orlando, Ilya Soloveychik, Ami Wiesel
2016	J	`jnl`	Joint Covariance Estimation With Mutual Linear Structure. IEEE Trans. Signal Process. Ilya Soloveychik, Ami Wiesel
2016	Misc	`conf`	Low rank approximation based hybrid precoding schemes for multi-carrier single-user massive MIMO systems. ICASSP Jianshu Zhang, Ami Wiesel, Martin Haardt
2016	Misc	`conf`	Quaternion structured paranormal distributions. ACSSC Yonatan Woodbridge, Gal Elidan, Ami Wiesel
2016	Misc	`conf`	Signal detection in para complex normal noise. ICASSP Yonatan Woodbridge, Gal Elidan, Ami Wiesel
2015	Misc	`conf`	Joint covariance estimation with mutual linear structure. ICASSP Ilya Soloveychik, Ami Wiesel
2015	—	`conf`	Joint inverse covariances estimation with mutual linear structure. EUSIPCO Ilya Soloveychik, Ami Wiesel
2015	J	`jnl`	Performance Analysis of Tyler's Covariance Estimator. IEEE Trans. Signal Process. Ilya Soloveychik, Ami Wiesel
2015	J	`jnl`	Structured Robust Covariance Estimation. Found. Trends Signal Process. Ami Wiesel, Teng Zhang
2015	Misc	`conf`	Tyler's estimator performance analysis. ICASSP Ilya Soloveychik, Ami Wiesel
2014	Misc	`conf`	Compressed matched filter for non-Gaussian noise. ICASSP Jakob Vovnoboy, Ami Wiesel
2014	Misc	`conf`	Covariance estimation in elliptical models with convex structure. ICASSP Ilya Soloveychik, Ami Wiesel
2014	J	`jnl`	Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models. IEEE Trans. Signal Process. Zhaoshi Meng, Dennis L. Wei, Ami Wiesel, Alfred O. Hero III
2014	J	`jnl`	Proper Quaternion Gaussian Graphical Models. IEEE Trans. Signal Process. Alba Sloin, Ami Wiesel
2014	J	`jnl`	Tyler's Covariance Matrix Estimator in Elliptical Models With Convex Structure. IEEE Trans. Signal Process. Ilya Soloveychik, Ami Wiesel
2013	—	`conf`	A sparse multi-class classifier for biomarker screening. GlobalSIP Tzu-Yu Liu, Ami Wiesel, Alfred O. Hero III
2013	J	`jnl`	Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods CoRR Zhaoshi Meng, Dennis L. Wei, Ami Wiesel, Alfred O. Hero III
2013	A	`conf`	Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods. AISTATS Zhaoshi Meng, Dennis L. Wei, Ami Wiesel, Alfred O. Hero III
2013	—	`conf`	Gaussian graphical models for proper quaternion distributions. CAMSAP Alba Sloin, Ami Wiesel
2013	—	`conf`	Group symmetry and non-Gaussian covariance estimation. GlobalSIP Ilya Soloveychik, Ami Wiesel
2013	—	`conf`	ML estimate and CRLB of Covariance Matrix for Complex Elliptically Symmetric distribution. EUSIPCO Maria Greco, Fulvio Gini, Ami Wiesel
2013	—	`conf`	Marginal likelihoods for distributed estimation of graphical model parameters. CAMSAP Zhaoshi Meng, Dennis L. Wei, Alfred O. Hero III, Ami Wiesel
2013	J	`jnl`	Multivariate Generalized Gaussian Distribution: Convexity and Graphical Models. IEEE Trans. Signal Process. Teng Zhang, Ami Wiesel, Maria Sabrina Greco
2013	Misc	`conf`	Robust semi-definite relaxation MIMO detection in a non-gaussian channel. ICASSP Jakob Vovnoboy, Ami Wiesel, Wing-Kin Ma
2013	—	`conf`	State estimation with consideration of PMU phase mismatch for smart grids. ISGT Peng Yang, Zhao Tan, Ami Wiesel, Arye Nehorai
2013	J	`jnl`	Synthetic Aperture Radar Autofocus via Semidefinite Relaxation. IEEE Trans. Image Process. Kuang-Hung Liu, Ami Wiesel, David C. Munson
2013	J	`jnl`	Time Varying Autoregressive Moving Average Models for Covariance Estimation. IEEE Trans. Signal Process. Ami Wiesel, Ofir Bibi, Amir Globerson
2012	—	`conf`	Change detection in smart grids using errors in variables models. SAM Chuanming Wei, Ami Wiesel, Rick S. Blum
2012	—	`conf`	Covariance estimation in time varying ARMA processes. SAM Ami Wiesel, Amir Globerson
2012	J	`jnl`	Distributed Covariance Estimation in Gaussian Graphical Models. IEEE Trans. Signal Process. Ami Wiesel, Alfred O. Hero III
2012	Misc	`conf`	Distributed change detection in Gaussian graphical models. CISS Chuanming Wei, Ami Wiesel, Rick S. Blum
2012	Misc	`conf`	Distributed principal component analysis on networks via directed graphical models. ICASSP Zhaoshi Meng, Ami Wiesel, Alfred O. Hero III
2012	J	`jnl`	Geodesic Convexity and Covariance Estimation. IEEE Trans. Signal Process. Ami Wiesel
2012	—	`conf`	On the convexity in Kronecker structured covariance estimation. SSP Ami Wiesel
2012	J	`jnl`	Synthetic Aperture Radar Autofocus Based on a Bilinear Model. IEEE Trans. Image Process. Kuang-Hung Liu, Ami Wiesel, David C. Munson
2012	J	`jnl`	Unified Framework to Regularized Covariance Estimation in Scaled Gaussian Models. IEEE Trans. Signal Process. Ami Wiesel
2011	Misc	`conf`	Maximum likelihood SAR autofocus with low-return region. ICASSP Kuang-Hung Liu, Ami Wiesel, David C. Munson
2011	—	`conf`	Misaligned Principal Components Analysis: Application to gene expression time series analysis. ACSCC Arnau Tibau Puig, Ami Wiesel, Raj Rao Nadakuditi, Alfred O. Hero III
2011	J	`jnl`	Multidimensional Shrinkage-Thresholding Operator and Group LASSO Penalties. IEEE Signal Process. Lett. Arnau Tibau Puig, Ami Wiesel, Gilles Fleury, Alfred O. Hero III
2011	J	`jnl`	Order-Preserving Factor Analysis - Application to Longitudinal Gene Expression. IEEE Trans. Signal Process. Arnau Tibau Puig, Ami Wiesel, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Gilles Fleury, Alfred O. Hero III
2011	—	`conf`	Regularized covariance estimation in scaled Gaussian models. CAMSAP Ami Wiesel
2011	J	`jnl`	Robust Shrinkage Estimation of High-Dimensional Covariance Matrices. IEEE Trans. Signal Process. Yilun Chen, Ami Wiesel, Alfred O. Hero III
2010	J	`jnl`	Covariance estimation in decomposable Gaussian graphical models. IEEE Trans. Signal Process. Ami Wiesel, Yonina C. Eldar, Alfred O. Hero III
2010	J	`jnl`	Shrinkage algorithms for MMSE covariance estimation. IEEE Trans. Signal Process. Yilun Chen, Ami Wiesel, Yonina C. Eldar, Alfred O. Hero III
2010	Misc	`conf`	Synthetic Aperture Radar autofocus via Semidefinite Relaxation. ICASSP Kuang-Hung Liu, Ami Wiesel, David C. Munson
2009	J	`jnl`	Decomposable principal component analysis. IEEE Trans. Signal Process. Ami Wiesel, Alfred O. Hero III
2009	Misc	`conf`	Principal component analysis in decomposable Gaussian graphical models. ICASSP Ami Wiesel, Alfred O. Hero III
2009	Misc	`conf`	Shrinkage estimation of high dimensional covariance matrices. ICASSP Yilun Chen, Ami Wiesel, Alfred O. Hero III
2008	J	`jnl`	Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds. IEEE Trans. Signal Process. Ami Wiesel, Yonina C. Eldar, Arie Yeredor
2008	J	`jnl`	Zero-Forcing Precoding and Generalized Inverses. IEEE Trans. Signal Process. Ami Wiesel, Yonina C. Eldar, Shlomo Shamai
2007	Misc	`conf`	Maximum A-Posteriori Estimation in Linear Models With a Gaussian Model Matrix. CISS Ido Nevat, Ami Wiesel, Jinhong Yuan, Yonina C. Eldar
2007	B	`conf`	On the Gaussian MIMO Wiretap Channel. ISIT Ashish Khisti, Gregory W. Wornell, Ami Wiesel, Yonina C. Eldar
2007	Misc	`conf`	Optimal Generalized Inverses for Zero Forcing Precoding. CISS Ami Wiesel, Yonina C. Eldar, Shlomo Shamai
2007	J	`jnl`	Optimization of the MIMO Compound Capacity. IEEE Trans. Wirel. Commun. Ami Wiesel, Yonina C. Eldar, Shlomo Shamai
2006	J	`jnl`	Linear precoding via conic optimization for fixed MIMO receivers. IEEE Trans. Signal Process. Ami Wiesel, Yonina C. Eldar, Shlomo Shamai
2006	—	`conf`	Linear transmitter design for the MISO compound channel with interference. EUSIPCO Ami Wiesel, Yonina C. Eldar, Shlomo Shamai
2006	—	`conf`	Maximum Likelihood Estimation in Random Linear Models: Generalizations and Performance Analysis. ICASSP (5) Ami Wiesel, Yonina C. Eldar
2006	J	`jnl`	Maximum likelihood estimation in linear models with a Gaussian model matrix. IEEE Signal Process. Lett. Ami Wiesel, Yonina C. Eldar, Amir Beck
2006	—	`conf`	On the Capacity of Linear Vector Gaussian Channels with Magnitude Knowledge and Phase Uncertainty. ICASSP (4) Miquel Payaró, Ami Wiesel, Jinhong Yuan, Miguel Angel Lagunas
2006	J	`jnl`	SNR estimation in time-varying fading channels. IEEE Trans. Commun. Ami Wiesel, Jason Goldberg, Hagit Messer-Yaron
2005	J	`jnl`	Semidefinite Relaxation for Detection of 16-QAM Signaling in MIMO Channels. IEEE Signal Process. Lett. Ami Wiesel, Yonina C. Eldar, Shlomo Shamai Shitz
2004	—	`conf`	A robust maximum likelihood multiuser detector in the presence of signature uncertainties. EUSIPCO Moshe Salhov, Ami Wiesel, Yonina C. Eldar
2004	—	`conf`	Linear MIMO precoders for fixed receivers. ICASSP (4) Ami Wiesel, Yonina C. Eldar, Shlomo Shamai
2004	—	`conf`	Robust peak distortion equalization. ICASSP (4) Moshe Salhov, Ami Wiesel, Yonina C. Eldar
2003	—	`conf`	Turbo equalization and demodulation of multicode space time codes. ICC Ami Wiesel, Xavier Mestre, Alba Pagès-Zamora, Javier Rodríguez Fonollosa
2002	Misc	`conf`	Data-Aided Signal-to-Noise-Ratio estimation in time selective fading channels. ICASSP Ami Wiesel, Jason Goldberg, Hagit Messer
2002	—	`conf`	Non-data-aided signal-to-noise-ratio estimation. ICC Ami Wiesel, Jason Goldberg, Hagit Messer