Articles with public access mandates - Arian MalekiLearn more
Available somewhere: 30
From denoising to compressed sensing
CA Metzler, A Maleki, RG Baraniuk
IEEE Transactions on Information Theory 62 (9), 5117-5144, 2016
Mandates: US National Science Foundation
Optimal data detection in large MIMO
C Jeon, R Ghods, A Maleki, C Studer
arXiv preprint arXiv:1811.01917, 2018
Mandates: US National Science Foundation
Design and analysis of compressed sensing radar detectors
L Anitori, A Maleki, M Otten, RG Baraniuk, P Hoogeboom
IEEE Transactions on Signal Processing 61 (4), 813-827, 2012
Mandates: Fraunhofer-Gesellschaft
Global analysis of expectation maximization for mixtures of two gaussians
J Xu, DJ Hsu, A Maleki
Advances in Neural Information Processing Systems 29, 2016
Mandates: US National Science Foundation
Does -Minimization Outperform -Minimization?
L Zheng, A Maleki, H Weng, X Wang, T Long
IEEE Transactions on Information Theory 63 (11), 6896-6935, 2017
Mandates: US National Science Foundation, US Department of Defense, National Natural …
VLSI design of approximate message passing for signal restoration and compressive sensing
P Maechler, C Studer, DE Bellasi, A Maleki, A Burg, N Felber, H Kaeslin, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2 (3 …, 2012
Mandates: Swiss National Science Foundation
BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising
CA Metzler, A Maleki, RG Baraniuk
2016 IEEE International Conference on Image Processing (ICIP), 2504-2508, 2016
Mandates: US National Science Foundation
Optimization-Based AMP for Phase Retrieval: The Impact of Initialization and Regularization
J Ma, J Xu, A Maleki
IEEE Transactions on Information Theory 65 (6), 3600-3629, 2019
Mandates: US National Science Foundation
A scalable estimate of the out-of-sample prediction error via approximate leave-one-out cross-validation
KR Rad, A Maleki
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020
Mandates: US National Science Foundation
Compressive CFAR radar detection
L Anitori, M Otten, W Van Rossum, A Maleki, R Baraniuk
2012 IEEE Radar Conference, 0320-0325, 2012
Mandates: Fraunhofer-Gesellschaft
Approximate leave-one-out for high-dimensional non-differentiable learning problems
S Wang, W Zhou, A Maleki, H Lu, V Mirrokni
arXiv preprint arXiv:1810.02716, 2018
Mandates: US National Science Foundation, US National Institutes of Health
On the performance of mismatched data detection in large MIMO systems
C Jeon, A Maleki, C Studer
2016 IEEE International Symposium on Information Theory (ISIT), 180-184, 2016
Mandates: US National Science Foundation
Benefits of over-parameterization with EM
J Xu, DJ Hsu, A Maleki
Advances in Neural Information Processing Systems 31, 2018
Mandates: US National Science Foundation
Overcoming the limitations of phase transition by higher order analysis of regularization techniques
H Weng, A Maleki, L Zheng
Mandates: US National Science Foundation
From compression to compressed sensing
S Jalali, A Maleki
Applied and Computational Harmonic Analysis 40 (2), 352-385, 2016
Mandates: US National Science Foundation
Consistent risk estimation in moderately high-dimensional linear regression
J Xu, A Maleki, KR Rad, D Hsu
IEEE Transactions on Information Theory 67 (9), 5997-6030, 2021
Mandates: US National Science Foundation
Does SLOPE outperform bridge regression?
S Wang, H Weng, A Maleki
Information and Inference: A Journal of the IMA 11 (1), 1-54, 2022
Mandates: US National Science Foundation
Analysis of spectral methods for phase retrieval with random orthogonal matrices
R Dudeja, M Bakhshizadeh, J Ma, A Maleki
IEEE Transactions on Information Theory 66 (8), 5182-5203, 2020
Mandates: US National Science Foundation
Spectral method for phase retrieval: an expectation propagation perspective
J Ma, R Dudeja, J Xu, A Maleki, X Wang
IEEE Transactions on Information Theory 67 (2), 1332-1355, 2021
Mandates: US National Science Foundation, US Department of Defense
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions
KR Rad, W Zhou, A Maleki
International Conference on Artificial Intelligence and Statistics, 4067-4077, 2020
Mandates: US National Science Foundation
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