Ami Wiesel

IEEE Signal Process. Lett., 2024

CFARnet: Deep learning for target detection with constant false alarm rate.

[BibT_eX]

[DOI]

Signal Process., 2024

Self-Supervised Learning for Covariance Estimation.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Learning to Estimate Without Bias.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Probabilistic Simplex Component Analysis by Importance Sampling.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2023

2022

Learning to Detect with Constant False Alarm Rate.

[BibT_eX]

[DOI]

Uri Okun

Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

Learning Minimum Variance Unbiased Estimators.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

2021

Fair Principal Component Analysis and Filter Design.

[BibT_eX]

[DOI]

Gad Zalcberg

IEEE Trans. Signal Process., 2021

Convex Nonparanormal Regression.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

On the Optimization Landscape of Maximum Mean Discrepancy.

[BibT_eX]

[DOI]

Alon Itai

CoRR, 2021

Conditional Frechet Inception Distance.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Maximin Optimization for Binary Regression.

[BibT_eX]

[DOI]

Nisan Chiprut

CoRR, 2020

Normalizing Flow Regression.

[BibT_eX]

[DOI]

CoRR, 2020

PnP-Net: A hybrid Perspective-n-Point Network.

[BibT_eX]

[DOI]

Roy Sheffer

CoRR, 2020

Spectral Algorithm for Shared Low-rank Matrix Regressions.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

2019

Learning to Detect.

[BibT_eX]

[DOI]

Neev Samuel

IEEE Trans. Signal Process., 2019

Unmixing K-Gaussians With Application to Hyperspectral Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2019

Spectral Algorithm for Low-rank Multitask Regression.

[BibT_eX]

[DOI]

CoRR, 2019

ML for Flood Forecasting at Scale.

[BibT_eX]

[DOI]

CoRR, 2019

Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many.

[BibT_eX]

[DOI]

CoRR, 2019

Globally Optimal Learning for Structured Elliptical Losses.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Robust multitask Elliptical Regression (ROMER).

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2017

Signal Detection in Complex Structured Para Normal Noise.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Joint Estimation of Inverse Covariance Matrices Lying in an Unknown Subspace.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Deep MIMO detection.

[BibT_eX]

[DOI]

Neev Samuel

Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Deep robust regression.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Joint Covariance Estimation With Mutual Linear Structure.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Group Symmetric Robust Covariance Estimation.

[BibT_eX]

[DOI]

Dmitry Trushin

IEEE Trans. Signal Process., 2016

Invariance Theory for Adaptive Detection in Interference With Group Symmetric Covariance Matrix.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Fitting Generalized Multivariate Huber Loss Functions.

[BibT_eX]

[DOI]

Eli Peker

IEEE Signal Process. Lett., 2016

Automatic diagonal loading for Tyler's robust covariance estimator.

[BibT_eX]

[DOI]

Teng Zhang

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

A channel matching based hybrid analog-digital strategy for massive multi-user MIMO downlink systems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Low rank approximation based hybrid precoding schemes for multi-carrier single-user massive MIMO systems.

[BibT_eX]

[DOI]

Jianshu Zhang

Martin Haardt

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Signal detection in para complex normal noise.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Detection with phaseless measurements.

[BibT_eX]

[DOI]

Amitai Koretz

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Quaternion structured paranormal distributions.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Performance Analysis of Tyler's Covariance Estimator.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Structured Robust Covariance Estimation.

[BibT_eX]

[DOI]

Teng Zhang

Found. Trends Signal Process., 2015

Tyler's estimator performance analysis.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Joint inverse covariances estimation with mutual linear structure.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Tyler's Covariance Matrix Estimator in Elliptical Models With Convex Structure.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Proper Quaternion Gaussian Graphical Models.

[BibT_eX]

[DOI]

Alba Sloin

IEEE Trans. Signal Process., 2014

Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Compressed matched filter for non-Gaussian noise.

[BibT_eX]

[DOI]

Jakob Vovnoboy

Proceedings of the IEEE International Conference on Acoustics, 2014

Covariance estimation in elliptical models with convex structure.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Multivariate Generalized Gaussian Distribution: Convexity and Graphical Models.

[BibT_eX]

[DOI]

Teng Zhang

Maria Sabrina Greco

IEEE Trans. Signal Process., 2013

Time Varying Autoregressive Moving Average Models for Covariance Estimation.

[BibT_eX]

[DOI]

Ofir Bibi

IEEE Trans. Signal Process., 2013

Synthetic Aperture Radar Autofocus via Semidefinite Relaxation.

[BibT_eX]

[DOI]

Kuang-Hung Liu

David C. Munson

IEEE Trans. Image Process., 2013

State estimation with consideration of PMU phase mismatch for smart grids.

[BibT_eX]

[DOI]

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2013

Robust semi-definite relaxation MIMO detection in a non-gaussian channel.

[BibT_eX]

[DOI]

Jakob Vovnoboy

Wing-Kin Ma

Proceedings of the IEEE International Conference on Acoustics, 2013

Group symmetry and non-Gaussian covariance estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A sparse multi-class classifier for biomarker screening.

[BibT_eX]

[DOI]

Tzu-Yu Liu

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

ML estimate and CRLB of Covariance Matrix for Complex Elliptically Symmetric distribution.

[BibT_eX]

[DOI]

Maria Greco

Fulvio Gini

Proceedings of the 21st European Signal Processing Conference, 2013

Gaussian graphical models for proper quaternion distributions.

[BibT_eX]

[DOI]

Alba Sloin

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Marginal likelihoods for distributed estimation of graphical model parameters.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Distributed Covariance Estimation in Gaussian Graphical Models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Geodesic Convexity and Covariance Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Unified Framework to Regularized Covariance Estimation in Scaled Gaussian Models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Synthetic Aperture Radar Autofocus Based on a Bilinear Model.

[BibT_eX]

[DOI]

Kuang-Hung Liu

David C. Munson

IEEE Trans. Image Process., 2012

On the convexity in Kronecker structured covariance estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Covariance estimation in time varying ARMA processes.

[BibT_eX]

[DOI]

Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

Change detection in smart grids using errors in variables models.

[BibT_eX]

[DOI]

Chuanming Wei

Rick S. Blum

Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

Distributed principal component analysis on networks via directed graphical models.

[BibT_eX]

[DOI]

Zhaoshi Meng

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Distributed change detection in Gaussian graphical models.

[BibT_eX]

[DOI]

Chuanming Wei

Rick S. Blum

Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

2011

Order-Preserving Factor Analysis - Application to Longitudinal Gene Expression.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

Robust Shrinkage Estimation of High-Dimensional Covariance Matrices.

[BibT_eX]

[DOI]

Yilun Chen

IEEE Trans. Signal Process., 2011

Multidimensional Shrinkage-Thresholding Operator and Group LASSO Penalties.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2011

Maximum likelihood SAR autofocus with low-return region.

[BibT_eX]

[DOI]

Kuang-Hung Liu

David C. Munson

Proceedings of the IEEE International Conference on Acoustics, 2011

Regularized covariance estimation in scaled Gaussian models.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Misaligned Principal Components Analysis: Application to gene expression time series analysis.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Covariance estimation in decomposable Gaussian graphical models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Shrinkage algorithms for MMSE covariance estimation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

2009

Decomposable principal component analysis.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2009

Principal component analysis in decomposable Gaussian graphical models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Shrinkage estimation of high dimensional covariance matrices.

[BibT_eX]

[DOI]

Yilun Chen

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds.

[BibT_eX]

[DOI]

Arie Yeredor

IEEE Trans. Signal Process., 2008

Zero-Forcing Precoding and Generalized Inverses.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

2007

Optimization of the MIMO Compound Capacity.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2007

On the Gaussian MIMO Wiretap Channel.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2007

Optimal Generalized Inverses for Zero Forcing Precoding.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

Maximum A-Posteriori Estimation in Linear Models With a Gaussian Model Matrix.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

2006

Linear precoding via conic optimization for fixed MIMO receivers.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2006

SNR estimation in time-varying fading channels.

[BibT_eX]

[DOI]

Jason Goldberg

Hagit Messer-Yaron

IEEE Trans. Commun., 2006

Maximum likelihood estimation in linear models with a Gaussian model matrix.

[BibT_eX]

[DOI]

Amir Beck

IEEE Signal Process. Lett., 2006

Maximum Likelihood Estimation in Random Linear Models: Generalizations and Performance Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

On the Capacity of Linear Vector Gaussian Channels with Magnitude Knowledge and Phase Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Linear transmitter design for the MISO compound channel with interference.

[BibT_eX]

[DOI]

Proceedings of the 14th European Signal Processing Conference, 2006

2005

Semidefinite Relaxation for Detection of 16-QAM Signaling in MIMO Channels.

[BibT_eX]

[DOI]

Shlomo Shamai Shitz

IEEE Signal Process. Lett., 2005

2004

Linear MIMO precoders for fixed receivers.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Robust peak distortion equalization.

[BibT_eX]

[DOI]

Moshe Salhov

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A robust maximum likelihood multiuser detector in the presence of signature uncertainties.

[BibT_eX]

[DOI]

Moshe Salhov

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003

Turbo equalization and demodulation of multicode space time codes.

[BibT_eX]

[DOI]

Javier Rodríguez Fonollosa

Xavier Mestre

Alba Pagès-Zamora

Proceedings of IEEE International Conference on Communications, 2003

2002

Non-data-aided signal-to-noise-ratio estimation.

[BibT_eX]

[DOI]

Jason Goldberg

Hagit Messer

Proceedings of the IEEE International Conference on Communications, 2002

Data-Aided Signal-to-Noise-Ratio estimation in time selective fading channels.

[BibT_eX]

[DOI]