Model-based compressive sensing RG Baraniuk, V Cevher, MF Duarte, C Hegde IEEE Transactions on information theory 56 (4), 1982-2001, 2010 | 2084 | 2010 |
Ultrasensitive hyperspectral imaging and biodetection enabled by dielectric metasurfaces HA Filiz Yesilkoy, Eduardo R Arvelo, Yasaman Jahani, Mingkai Liu, Andreas ... Nature Photonics, 2019 | 731 | 2019 |
Compressive sensing for background subtraction V Cevher, A Sankaranarayanan, MF Duarte, D Reddy, RG Baraniuk, ... Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 405 | 2008 |
Convex optimization for big data: Scalable, randomized, and parallel algorithms for big data analytics V Cevher, S Becker, M Schmidt IEEE Signal Processing Magazine 31 (5), 32-43, 2014 | 368 | 2014 |
Bilinear generalized approximate message passing—Part I: Derivation JT Parker, P Schniter, V Cevher IEEE Transactions on Signal Processing 62 (22), 5839-5853, 2014 | 258 | 2014 |
Digress: Discrete denoising diffusion for graph generation C Vignac, I Krawczuk, A Siraudin, B Wang, V Cevher, P Frossard arXiv preprint arXiv:2209.14734, 2022 | 229 | 2022 |
Practical sketching algorithms for low-rank matrix approximation JA Tropp, A Yurtsever, M Udell, V Cevher SIAM Journal on Matrix Analysis and Applications 38 (4), 1454-1485, 2017 | 224 | 2017 |
Sparse signal recovery using markov random fields V Cevher, M Duarte, C Hegde, R Baraniuk Advances in Neural Information Processing Systems 21, 2008 | 223 | 2008 |
Distributed target localization via spatial sparsity V Cevher, MF Duarte, RG Baraniuk 2008 16th European signal processing conference, 1-5, 2008 | 206 | 2008 |
High-dimensional gaussian process bandits J Djolonga, A Krause, V Cevher Advances in neural information processing systems 26, 2013 | 205 | 2013 |
Low-dimensional models for dimensionality reduction and signal recovery: A geometric perspective RG Baraniuk, V Cevher, MB Wakin Proceedings of the IEEE 98 (6), 959-971, 2010 | 200 | 2010 |
A compressive beamforming method AC Gurbuz, JH McClellan, V Cevher 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 200 | 2008 |
WASP: Scalable Bayes via barycenters of subset posteriors S Srivastava, V Cevher, Q Dinh, D Dunson Artificial intelligence and statistics, 912-920, 2015 | 184 | 2015 |
Submodular dictionary selection for sparse representation A Krause, V Cevher International Conference on Machine Learning (ICML), 2010 | 147 | 2010 |
Learning-based compressive MRI B Gözcü, RK Mahabadi, YH Li, E Ilıcak, T Cukur, J Scarlett, V Cevher IEEE transactions on medical imaging 37 (6), 1394-1406, 2018 | 145 | 2018 |
Vehicle speed estimation using acoustic wave patterns V Cevher, R Chellappa, JH McClellan IEEE Transactions on signal processing 57 (1), 30-47, 2008 | 145 | 2008 |
Scalable semidefinite programming A Yurtsever, JA Tropp, O Fercoq, M Udell, V Cevher SIAM Journal on Mathematics of Data Science 3 (1), 171-200, 2021 | 144 | 2021 |
Adversarially robust optimization with Gaussian processes I Bogunovic, J Scarlett, S Jegelka, V Cevher Advances in neural information processing systems 31, 2018 | 141 | 2018 |
Lipschitz constant estimation of neural networks via sparse polynomial optimization F Latorre, P Rolland, V Cevher arXiv preprint arXiv:2004.08688, 2020 | 134 | 2020 |
Learning with compressible priors V Cevher Advances in Neural Information Processing Systems 22, 2009 | 121 | 2009 |