default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAmi Wiesel
Person information
- affiliation: The Hebrew University of Jerusalem, Israel
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j39]Tzvi Diskin, Yiftach Beer
, Uri Okun, Ami Wiesel:
CFARnet: Deep learning for target detection with constant false alarm rate. Signal Process. 223: 109543 (2024)- [j38]Alon Itai, David Arnon, Ami Wiesel:
Learning Minimal Volume Uncertainty Ellipsoids. IEEE Signal Process. Lett. 31: 1655-1659 (2024) - 2023
- [j37]Nerya Granot, Tzvi Diskin, Nicolas Dobigeon, Ami Wiesel:
Probabilistic Simplex Component Analysis by Importance Sampling. IEEE Signal Process. Lett. 30: 683-687 (2023) - [j36]Tzvi Diskin, Yonina C. Eldar, Ami Wiesel:
Learning to Estimate Without Bias. IEEE Trans. Signal Process. 71: 2162-2171 (2023) - 2021
- [j35]Yonatan Woodbridge, Gal Elidan, Ami Wiesel:
Convex Nonparanormal Regression. IEEE Signal Process. Lett. 28: 1680-1684 (2021) - [j34]Gad Zalcberg, Ami Wiesel:
Fair Principal Component Analysis and Filter Design. IEEE Trans. Signal Process. 69: 4835-4842 (2021) - 2019
- [j33]Yonatan Woodbridge, Uri Okun, Gal Elidan, Ami Wiesel:
Unmixing K-Gaussians With Application to Hyperspectral Imaging. IEEE Trans. Geosci. Remote. Sens. 57(9): 7281-7293 (2019) - [j32]Neev Samuel, Tzvi Diskin, Ami Wiesel:
Learning to Detect. IEEE Trans. Signal Process. 67(10): 2554-2564 (2019) - 2017
- [j31]Yonatan Woodbridge, Gal Elidan, Ami Wiesel:
Signal Detection in Complex Structured Para Normal Noise. IEEE Trans. Signal Process. 65(9): 2306-2316 (2017) - [j30]Ilya Soloveychik, Ami Wiesel:
Joint Estimation of Inverse Covariance Matrices Lying in an Unknown Subspace. IEEE Trans. Signal Process. 65(9): 2379-2388 (2017) - 2016
- [j29]Eli Peker, Ami Wiesel:
Fitting Generalized Multivariate Huber Loss Functions. IEEE Signal Process. Lett. 23(11): 1647-1651 (2016) - [j28]Ilya Soloveychik, Dmitry Trushin, Ami Wiesel:
Group Symmetric Robust Covariance Estimation. IEEE Trans. Signal Process. 64(1): 244-257 (2016) - [j27]Ilya Soloveychik, Ami Wiesel:
Joint Covariance Estimation With Mutual Linear Structure. IEEE Trans. Signal Process. 64(6): 1550-1561 (2016) - [j26]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): 6299-6312 (2016) - 2015
- [j25]Ami Wiesel, Teng Zhang:
Structured Robust Covariance Estimation. Found. Trends Signal Process. 8(3): 127-216 (2015) - [j24]Ilya Soloveychik, Ami Wiesel:
Performance Analysis of Tyler's Covariance Estimator. IEEE Trans. Signal Process. 63(2): 418-426 (2015) - 2014
- [j23]Ilya Soloveychik, Ami Wiesel:
Tyler's Covariance Matrix Estimator in Elliptical Models With Convex Structure. IEEE Trans. Signal Process. 62(20): 5251-5259 (2014) - [j22]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): 5425-5438 (2014) - [j21]Alba Sloin, Ami Wiesel:
Proper Quaternion Gaussian Graphical Models. IEEE Trans. Signal Process. 62(20): 5487-5496 (2014) - 2013
- [j20]Kuang-Hung Liu, Ami Wiesel, David C. Munson:
Synthetic Aperture Radar Autofocus via Semidefinite Relaxation. IEEE Trans. Image Process. 22(6): 2317-2326 (2013) - [j19]Ami Wiesel, Ofir Bibi, Amir Globerson:
Time Varying Autoregressive Moving Average Models for Covariance Estimation. IEEE Trans. Signal Process. 61(11): 2791-2801 (2013) - [j18]Teng Zhang, Ami Wiesel, Maria Sabrina Greco:
Multivariate Generalized Gaussian Distribution: Convexity and Graphical Models. IEEE Trans. Signal Process. 61(16): 4141-4148 (2013) - 2012
- [j17]Kuang-Hung Liu, Ami Wiesel, David C. Munson:
Synthetic Aperture Radar Autofocus Based on a Bilinear Model. IEEE Trans. Image Process. 21(5): 2735-2746 (2012) - [j16]Ami Wiesel:
Unified Framework to Regularized Covariance Estimation in Scaled Gaussian Models. IEEE Trans. Signal Process. 60(1): 29-38 (2012) - [j15]Ami Wiesel, Alfred O. Hero III:
Distributed Covariance Estimation in Gaussian Graphical Models. IEEE Trans. Signal Process. 60(1): 211-220 (2012) - [j14]Ami Wiesel:
Geodesic Convexity and Covariance Estimation. IEEE Trans. Signal Process. 60(12): 6182-6189 (2012) - 2011
- [j13]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): 363-366 (2011) - [j12]Yilun Chen, Ami Wiesel, Alfred O. Hero III:
Robust Shrinkage Estimation of High-Dimensional Covariance Matrices. IEEE Trans. Signal Process. 59(9): 4097-4107 (2011) - [j11]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): 4447-4458 (2011) - 2010
- [j10]Ami Wiesel, Yonina C. Eldar, Alfred O. Hero III:
Covariance estimation in decomposable Gaussian graphical models. IEEE Trans. Signal Process. 58(3): 1482-1492 (2010) - [j9]Yilun Chen, Ami Wiesel, Yonina C. Eldar, Alfred O. Hero III:
Shrinkage algorithms for MMSE covariance estimation. IEEE Trans. Signal Process. 58(10): 5016-5029 (2010) - 2009
- [j8]Ami Wiesel, Alfred O. Hero III:
Decomposable principal component analysis. IEEE Trans. Signal Process. 57(11): 4369-4377 (2009) - 2008
- [j7]Ami Wiesel, Yonina C. Eldar, Arie Yeredor:
Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds. IEEE Trans. Signal Process. 56(6): 2194-2205 (2008) - [j6]Ami Wiesel, Yonina C. Eldar, Shlomo Shamai:
Zero-Forcing Precoding and Generalized Inverses. IEEE Trans. Signal Process. 56(9): 4409-4418 (2008) - 2007
- [j5]Ami Wiesel, Yonina C. Eldar, Shlomo Shamai:
Optimization of the MIMO Compound Capacity. IEEE Trans. Wirel. Commun. 6(3): 1094-1101 (2007) - 2006
- [j4]Ami Wiesel, Yonina C. Eldar, Amir Beck:
Maximum likelihood estimation in linear models with a Gaussian model matrix. IEEE Signal Process. Lett. 13(5): 292-295 (2006) - [j3]Ami Wiesel, Jason Goldberg, Hagit Messer-Yaron:
SNR estimation in time-varying fading channels. IEEE Trans. Commun. 54(5): 841-848 (2006) - [j2]Ami Wiesel, Yonina C. Eldar, Shlomo Shamai:
Linear precoding via conic optimization for fixed MIMO receivers. IEEE Trans. Signal Process. 54(1): 161-176 (2006) - 2005
- [j1]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): 653-656 (2005)
Conference and Workshop Papers
- 2024
- [c50]Tzvi Diskin, Ami Wiesel:
Self-Supervised Learning for Covariance Estimation. EUSIPCO 2024: 2607-2611 - 2022
- [c49]Tzvi Diskin, Yonina C. Eldar, Ami Wiesel:
Learning Minimum Variance Unbiased Estimators. SAM 2022: 166-170 - [c48]Tzvi Diskin, Uri Okun, Ami Wiesel:
Learning to Detect with Constant False Alarm Rate. SPAWC 2022: 1-5 - 2020
- [c47]Yotam Gigi, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias, Ami Wiesel:
Spectral Algorithm for Shared Low-rank Matrix Regressions. SAM 2020: 1-5 - 2019
- [c46]Nofar Noy, Yoav Wald, Gal Elidan, Ami Wiesel:
Robust multitask Elliptical Regression (ROMER). CAMSAP 2019: 261-265 - [c45]Yoav Wald, Nofar Noy, Gal Elidan, Ami Wiesel:
Globally Optimal Learning for Structured Elliptical Losses. NeurIPS 2019: 13488-13497 - 2017
- [c44]Tzvi Diskin, Gordana Draskovic, Frédéric Pascal, Ami Wiesel:
Deep robust regression. CAMSAP 2017: 1-5 - [c43]Neev Samuel, Tzvi Diskin, Ami Wiesel:
Deep MIMO detection. SPAWC 2017: 1-5 - 2016
- [c42]Yonatan Woodbridge, Gal Elidan, Ami Wiesel:
Quaternion structured paranormal distributions. ACSSC 2016: 815-819 - [c41]Jianshu Zhang, Ami Wiesel, Martin Haardt:
Low rank approximation based hybrid precoding schemes for multi-carrier single-user massive MIMO systems. ICASSP 2016: 3281-3285 - [c40]Yonatan Woodbridge, Gal Elidan, Ami Wiesel:
Signal detection in para complex normal noise. ICASSP 2016: 4274-4278 - [c39]Amitai Koretz, Ami Wiesel, Yonina C. Eldar:
Detection with phaseless measurements. ICASSP 2016: 4279-4283 - [c38]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: 1-5 - [c37]Teng Zhang, Ami Wiesel:
Automatic diagonal loading for Tyler's robust covariance estimator. SSP 2016: 1-5 - 2015
- [c36]Ilya Soloveychik, Ami Wiesel:
Joint inverse covariances estimation with mutual linear structure. EUSIPCO 2015: 1756-1760 - [c35]Ilya Soloveychik, Ami Wiesel:
Joint covariance estimation with mutual linear structure. ICASSP 2015: 3437-3441 - [c34]Ilya Soloveychik, Ami Wiesel:
Tyler's estimator performance analysis. ICASSP 2015: 5688-5692 - 2014
- [c33]Jakob Vovnoboy, Ami Wiesel:
Compressed matched filter for non-Gaussian noise. ICASSP 2014: 1050-1054 - [c32]Ilya Soloveychik, Ami Wiesel:
Covariance estimation in elliptical models with convex structure. ICASSP 2014: 5646-5650 - 2013
- [c31]Zhaoshi Meng, Dennis L. Wei, Ami Wiesel, Alfred O. Hero III:
Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods. AISTATS 2013: 39-47 - [c30]Zhaoshi Meng, Dennis L. Wei, Alfred O. Hero III, Ami Wiesel:
Marginal likelihoods for distributed estimation of graphical model parameters. CAMSAP 2013: 73-76 - [c29]Alba Sloin, Ami Wiesel:
Gaussian graphical models for proper quaternion distributions. CAMSAP 2013: 117-120 - [c28]Maria Greco, Fulvio Gini, Ami Wiesel:
ML estimate and CRLB of Covariance Matrix for Complex Elliptically Symmetric distribution. EUSIPCO 2013: 1-5 - [c27]Tzu-Yu Liu, Ami Wiesel, Alfred O. Hero III:
A sparse multi-class classifier for biomarker screening. GlobalSIP 2013: 77-80 - [c26]Ilya Soloveychik, Ami Wiesel:
Group symmetry and non-Gaussian covariance estimation. GlobalSIP 2013: 1105-1108 - [c25]Jakob Vovnoboy, Ami Wiesel, Wing-Kin Ma:
Robust semi-definite relaxation MIMO detection in a non-gaussian channel. ICASSP 2013: 5494-5498 - [c24]Peng Yang, Zhao Tan, Ami Wiesel, Arye Nehorai:
State estimation with consideration of PMU phase mismatch for smart grids. ISGT 2013: 1-6 - 2012
- [c23]Chuanming Wei, Ami Wiesel, Rick S. Blum:
Distributed change detection in Gaussian graphical models. CISS 2012: 1-4 - [c22]Zhaoshi Meng, Ami Wiesel, Alfred O. Hero III:
Distributed principal component analysis on networks via directed graphical models. ICASSP 2012: 2877-2880 - [c21]Chuanming Wei, Ami Wiesel, Rick S. Blum:
Change detection in smart grids using errors in variables models. SAM 2012: 17-20 - [c20]Ami Wiesel, Amir Globerson:
Covariance estimation in time varying ARMA processes. SAM 2012: 357-360 - [c19]Ami Wiesel:
On the convexity in Kronecker structured covariance estimation. SSP 2012: 880-883 - 2011
- [c18]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: 1002-1006 - [c17]Ami Wiesel:
Regularized covariance estimation in scaled Gaussian models. CAMSAP 2011: 309-312 - [c16]Kuang-Hung Liu, Ami Wiesel, David C. Munson:
Maximum likelihood SAR autofocus with low-return region. ICASSP 2011: 1377-1380 - 2010
- [c15]Kuang-Hung Liu, Ami Wiesel, David C. Munson:
Synthetic Aperture Radar autofocus via Semidefinite Relaxation. ICASSP 2010: 1342-1345 - 2009
- [c14]Ami Wiesel, Alfred O. Hero III:
Principal component analysis in decomposable Gaussian graphical models. ICASSP 2009: 1537-1540 - [c13]Yilun Chen, Ami Wiesel, Alfred O. Hero III:
Shrinkage estimation of high dimensional covariance matrices. ICASSP 2009: 2937-2940 - 2007
- [c12]Ido Nevat, Ami Wiesel, Jinhong Yuan, Yonina C. Eldar:
Maximum A-Posteriori Estimation in Linear Models With a Gaussian Model Matrix. CISS 2007: 63-67 - [c11]Ami Wiesel, Yonina C. Eldar, Shlomo Shamai:
Optimal Generalized Inverses for Zero Forcing Precoding. CISS 2007: 130-134 - [c10]Ashish Khisti, Gregory W. Wornell, Ami Wiesel, Yonina C. Eldar:
On the Gaussian MIMO Wiretap Channel. ISIT 2007: 2471-2475 - 2006
- [c9]Ami Wiesel, Yonina C. Eldar, Shlomo Shamai:
Linear transmitter design for the MISO compound channel with interference. EUSIPCO 2006: 1-5 - [c8]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: 565-568 - [c7]Ami Wiesel, Yonina C. Eldar:
Maximum Likelihood Estimation in Random Linear Models: Generalizations and Performance Analysis. ICASSP (5) 2006: 993-996 - 2004
- [c6]Moshe Salhov, Ami Wiesel, Yonina C. Eldar:
A robust maximum likelihood multiuser detector in the presence of signature uncertainties. EUSIPCO 2004: 185-188 - [c5]Ami Wiesel, Yonina C. Eldar, Shlomo Shamai:
Linear MIMO precoders for fixed receivers. ICASSP (4) 2004: 481-484 - [c4]Moshe Salhov, Ami Wiesel, Yonina C. Eldar:
Robust peak distortion equalization. ICASSP (4) 2004: 1009-1012 - 2003
- [c3]Ami Wiesel, Xavier Mestre, Alba Pagès-Zamora, Javier Rodríguez Fonollosa:
Turbo equalization and demodulation of multicode space time codes. ICC 2003: 2296-2300 - 2002
- [c2]Ami Wiesel, Jason Goldberg, Hagit Messer:
Data-Aided Signal-to-Noise-Ratio estimation in time selective fading channels. ICASSP 2002: 2197-2200 - [c1]Ami Wiesel, Jason Goldberg, Hagit Messer:
Non-data-aided signal-to-noise-ratio estimation. ICC 2002: 197-201
Informal and Other Publications
- 2024
- [i17]Tzvi Diskin, Ami Wiesel:
Self-Supervised Learning for Covariance Estimation. CoRR abs/2403.08662 (2024) - [i16]Alon Itai, David Arnon, Ami Wiesel:
Learning minimal volume uncertainty ellipsoids. CoRR abs/2405.02441 (2024) - 2022
- [i15]Tzvi Diskin, Uri Okun, Ami Wiesel:
Learning to Detect with Constant False Alarm Rate. CoRR abs/2206.05747 (2022) - [i14]Tzvi Diskin, Yiftach Beer, Uri Okun, Ami Wiesel:
CFARnet: deep learning for target detection with constant false alarm rate. CoRR abs/2208.02474 (2022) - 2021
- [i13]Michael Soloveitchik, Tzvi Diskin, Efrat Morin, Ami Wiesel:
Conditional Frechet Inception Distance. CoRR abs/2103.11521 (2021) - [i12]Tzvi Diskin, Yonina C. Eldar, Ami Wiesel:
Learning to Estimate Without Bias. CoRR abs/2110.12403 (2021) - [i11]Alon Itai, Amir Globerson, Ami Wiesel:
On the Optimization Landscape of Maximum Mean Discrepancy. CoRR abs/2110.13452 (2021) - 2020
- [i10]Gad Zalcberg, Ami Wiesel:
Fair Principal Component Analysis and Filter Design. CoRR abs/2002.06557 (2020) - [i9]Roy Sheffer, Ami Wiesel:
PnP-Net: A hybrid Perspective-n-Point Network. CoRR abs/2003.04626 (2020) - [i8]Yonatan Woodbridge, Gal Elidan, Ami Wiesel:
Normalizing Flow Regression. CoRR abs/2004.10255 (2020) - [i7]Nisan Chiprut, Amir Globerson, Ami Wiesel:
Maximin Optimization for Binary Regression. CoRR abs/2010.05077 (2020) - 2019
- [i6]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 abs/1901.00786 (2019) - [i5]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 abs/1901.09583 (2019) - [i4]Yotam Gigi, Ami Wiesel, Sella Nevo, Gal Elidan, Avinatan Hassidim, Yossi Matias:
Spectral Algorithm for Low-rank Multitask Regression. CoRR abs/1910.12204 (2019) - 2018
- [i3]Neev Samuel, Tzvi Diskin, Ami Wiesel:
Learning to Detect. CoRR abs/1805.07631 (2018) - 2017
- [i2]Neev Samuel, Tzvi Diskin, Ami Wiesel:
Deep MIMO Detection. CoRR abs/1706.01151 (2017) - 2013
- [i1]Zhaoshi Meng, Dennis L. Wei, Ami Wiesel, Alfred O. Hero III:
Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods. CoRR abs/1303.4756 (2013)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
