| 2025 | ACSSC | Affine Subspace Models and Clustering for Patch-Based Image Denoising. | Tharindu Wickremasinghe, Marco F. Duarte |
| 2018 | ACSSC | Graph Regularized Autoencoder-Based Unsupervised Feature Selection. | Siwei Feng, Marco F. Duarte |
| 2018 | ICASSP | A Novel Crowd-Resilient Visual Localization Algorithm Via Robust Pca Background Extraction. | Zhuorui Yang, Marco F. Duarte, Aura Ganz |
| 2016 | ACSSC | Compressive direction-of-arrival estimation off the grid. | Shermin Hamzehei, Marco F. Duarte |
| 2016 | CISS | Compressive line spectrum estimation with clustering and interpolation. | Dian Mo, Marco F. Duarte |
| 2015 | ACSSC | Design of spectrally shaped binary sequences via randomized convex relaxations. | Dian Mo, Marco F. Duarte |
| 2015 | CVPR | Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures. | Siwei Feng, Marco F. Duarte, Mario Parente |
| 2015 | ICASSP | Image masking schemes for local manifold learning methods. | Hamid Dadkhahi, Marco F. Duarte |
| 2015 | ICASSP | Compressive parameter estimation via approximate message passing. | Shermin Hamzehei, Marco F. Duarte |
| 2014 | AISTATS | Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs. | Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank |
| 2014 | ICIP | Tailoring non-homogeneous Markov chain wavelet models for hyperspectral signature classification. | Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte |
| 2013 | ICASSP | Spectral compressive sensing with polar interpolation. | Karsten Fyhn, Hamid Dadkhahi, Marco F. Duarte |
| 2013 | ICASSP | Recovery of sparse signals from amplitude-limited sample sets. | Adam C. Polak, Marco F. Duarte, Robert W. Jackson, Dennis Goeckel |
| 2012 | ICASSP | Melanoma classification from Hidden Markov Tree features. | Marco F. Duarte, Thomas E. Matthews, Warren S. Warren, A. Robert Calderbank |
| 2012 | ISIT | Beyond worst-case reconstruction in deterministic compressed sensing. | Sina Jafarpour, Marco F. Duarte, A. Robert Calderbank |
| 2011 | ICASSP | The value of redundant measurement in compressed sensing. | Victoria Kostina, Marco F. Duarte, Sina Jafarpour, A. Robert Calderbank |
| 2010 | ICASSP | Kronecker product matrices for compressive sensing. | Marco F. Duarte, Richard G. Baraniuk |
| 2010 | ICASSP | Texas Hold 'Em algorithms for distributed compressive sensing. | Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde, Marco F. Duarte, Mark A. Davenport, Richard G. Baraniuk |
| 2009 | CISS | Recovery of compressible signals in unions of subspaces. | Marco F. Duarte, Chinmay Hegde, Volkan Cevher, Richard G. Baraniuk |
| 2008 | ECCV | Compressive Sensing for Background Subtraction. | Volkan Cevher, Aswin C. Sankaranarayanan, Marco F. Duarte, Dikpal Reddy, Richard G. Baraniuk, Rama Chellappa |
| 2008 | ICASSP | Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model. | Marco F. Duarte, Michael B. Wakin, Richard G. Baraniuk |
| 2007 | ICIP | Multiscale Random Projections for Compressive Classification. | Marco F. Duarte, Mark A. Davenport, Michael B. Wakin, Jason N. Laska, Dharmpal Takhar, Kevin F. Kelly, Richard G. Baraniuk |
| 2007 | ISCAS | Theory and Implementation of an Analog-to-Information Converter using Random Demodulation. | Jason N. Laska, Sami Kirolos, Marco F. Duarte, Tamer Ragheb, Richard G. Baraniuk, Yehia Massoud |
| 2006 | ICASSP | Sparse Signal Detection from Incoherent Projections. | Marco F. Duarte, Mark A. Davenport, Michael B. Wakin, Richard G. Baraniuk |
| 2006 | ICASSP | Random Filters for Compressive Sampling and Reconstruction. | Joel A. Tropp, Michael B. Wakin, Marco F. Duarte, Dror Baron, Richard G. Baraniuk |
| 2006 | ICIP | An Architecture for Compressive Imaging. | Michael B. Wakin, Jason N. Laska, Marco F. Duarte, Dror Baron, Shriram Sarvotham, Dharmpal Takhar, Kevin F. Kelly, Richard G. Baraniuk |
| 2004 | MMSP | Optimal decision fusion with applications to target detection in wireless ad hoc sensor networks. | Marco F. Duarte, Yu Hen Hu |