All conference papers
Conferences:
Global analysis of expectation maximization for mixtures of two Gaussians
J. Xu, D. Hsu, A. Maleki, Neural information processing and systems (NIPS), 2016 [Oral presentation].
BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising
C. Metzler, A. Maleki, R. Baraniuk, Proc. IEEE Int. Conf. Image Processing (ICIP), 2016.
An $\ell_p$-based reconstruction algorithm for compressed sensing radar imaging
L. Zheng, A. Maleki, Q. Liu, X. Wang, X. Yang, Proc. Radar Conference, 2016.
Phase transition and noise sensitivity of $\ell_p$-minimization for $0 \leq p \leq 1$
Weng, H., Zheng, L., Maleki, A., X. Wang, Proc. IEEE Int. Symp. Inform. Theory (ISIT), 2016.
On the performance of mismatched data detection in large MIMO systems
C. Jeon, A. Maleki, A., C. Studer, Proc. IEEE Int. Symp. Inform. Theory (ISIT), 2016.
Optimality of large MIMO detection via approximate message passing
C. Jeon, R. Ghods, A. Maleki, A., C. Studer, Proc. IEEE Int. Symp. Inform. Theory (ISIT), 2015.
Optimal large-mimo data detection with transmit impairments,
C. Jeon, R. Ghods, A. Maleki, A., C. Studer, Proc. Allerton Conf. Communication, Control, and Computing, 2015.
BM3D-AMP: A new image recovery algorithm based on BM3D denoising
C. Metzler, A. Maleki, R. Baraniuk, Proc. IEEE Int. Conf. Image Processing, 2015. [Top 10 percent of accepted papers]
Does $\ell_p$-minimization outperform $\ell_1$-minimization?
L. Zheng, A. Maleki, X. Wang, T. Long, SPARS, 2015 [Finalist for best paper award].
Optimal recovery from compressive measurements via denoising-based approximate message passing
C. Metzler, A. Maleki, R. Baraniuk, Proc. Sampling Theory and Applications, 2015.
Maximin analysis of message passing for recovering group sparse signals
A. Taeb, A. Maleki, C. Studer, R. Baraniuk, SPARS 2013.
Iterative Thresholding algorithms for sparse inverse covariance estimation
D. Guillot, B. Rajaratnam, B. Rolfs, A. Maleki, I. Wong, Neural information processing and systems (NIPS), 2013.
From compression to compressed sensing: analog signals
S. Jalali, A. Maleki, Proc. Proc. Work. Struc. Parc. Rep. Adap. Signaux (SPARS), 2013.
From compression to compressed sensing: analog signals
S. Jalali, A. Maleki, Proc. Proc. Work. Struc. Parc. Rep. Adap. Signaux (SPARS), 2013.
S Jalali, A. Maleki, R. Baraniuk, Proc. Allerton Conf. Communication, Control, and Computing, Monticello, IL, 2013.
L. Anitori, A. Maleki, M. Otten, R. Baraniuk, P. Hoogeboom, Proc. IEEE RADARCON, Atlanta, GA, 2012.
[Student paper award]
CS radar imaging via adaptive CAMP
L. Anitori, A. Maleki, M. Otten, R. Baraniuk, P. Hoogeboom, Proc. of European Conf. Synthetic Aperture Radar, 2012.
[Student paper award]
Least favorable compressed sensing problems for first order methods
A. Maleki, R. G. Baraniuk, Proc. IEEE Int. Symp. Inform. Theory (ISIT), Saint Petersburg, Russia, 2011.
Analysis of approximate message passing algorithm
A. Maleki, A. Montanari, Proc. IEEE Conf. Inform. Science and Systems (CISS), Princeton, NJ, 2010. [invited]
Message passing algorithms for compressed sensing, part 1: motivation and construction*
D. L. Donoho, A. Maleki, and A. Montanari, Proc. Inform. Theory Work. (ITW), Cairo, Egypt, 2010. [invited]
Message passing algorithms for compressed sensing, part 2: analysis and validation*
D. L. Donoho, A. Maleki, and A. Montanari, Proc. Inform. Theory Work. (ITW), Cairo, Egypt, 2010., 2010. [invited]
Coherence analysis of iterative thresholding algorithms
A. Maleki, Proc. Allerton Conf. Communication, Control, and Computing, Monticello, IL, 2009. [arxiv]
Phase transition of iterative thresholding algorithms
A. Maleki and D. L. Donoho, Proc. Work. Struc. Parc. Rep. Adap. Signaux (SPARS), Paris, France, 2009.
[Finalist for best paper award]
A solution to the drawbacks of spectral clustering
N. Asgharbeigi and A. Maleki, Proc. IEEE Int. Conf. Pattern Recognition (ICPR), Tampa, Florida, 2008.
Coherent and Heterogeneous approach for clustering
A. Maleki, N. Asgharbeigi, Proc. of IEEE artificial intelligence and pattern recognition (AIPR), Tampa, Florida, 2008.
[More details here]
Near optimal coder for image geometries, A. Maleki, M. Shahram, G. Carlsson,
Proc. IEEE Int. Conf. Image Processing (ICIP), San Diego, CA, 2008. [You may find details here].
\epsilon-entropy of piecewise polynomial functions and tree partitioning compression
A. Maleki, G. Carlsson, Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing (ICASSP), Las Vegas, NV, 2008
Tree partitioning compression of piecewise polynomial functions
A. Maleki, M. Shahram, Proc. Asilomar Conf. Signals, Systems, and Computers, Pacific Grove, CA, 2007.
Adaptive wavelet transform for image compression via directional Quincunx lifting