Volkan Cevher

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Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Jonathan ScarlettAssistant Professor, Computer Science and Mathematics, National University of SingaporeVerified email at comp.nus.edu.sg
Quoc Tran-DinhDepartment of Statistics and Operations Research, UNCVerified email at email.unc.edu
Alp YurtseverUmeå UniversityVerified email at umu.se
Anastasios KyrillidisAssistant Professor, Computer Science Department, Rice University - MicrosoftVerified email at rice.edu
Marco F. DuarteAssociate Professor of Electrical and Computer Engineering, University of Massachusetts AmherstVerified email at ecs.umass.edu
Ilija BogunovicAssistant professor, UCLVerified email at ucl.ac.uk
Chinmay HegdeAssistant Professor, New York UniversityVerified email at nyu.edu
Luca BaldassarreLead Data Scientist, Swiss ReVerified email at swissre.com
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechVerified email at caltech.edu
Yen-Huan LiAssistant Professor of Computer Science, National Taiwan UniversityVerified email at csie.ntu.edu.tw
Stephen BeckerAssociate Professor at University of ColoradoVerified email at colorado.edu
Olivier FercoqTelecom ParisVerified email at telecom-paristech.fr
Afsaneh AsaeiHead of AIVerified email at unternehmertum.de
Madeleine UdellAssistant Professor, Operations Research and Information Engineering, CornellVerified email at cornell.edu
Aswin C SankaranarayananAssociate Professor, ECE, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Hervé BourlardDirector, Idiap Research Institute; Professor at EPFLVerified email at idiap.ch
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Ali Cafer GurbuzAssistant Professor, Mississippi State UniversityVerified email at ece.msstate.edu
Philip SchniterThe Ohio State UniversityVerified email at osu.edu

Volkan Cevher

Associate Professor, Laboratory for Information and Inference Systems, EPFL

Verified email at epfl.ch - Homepage

Machine Learning Optimization Signal Processing Information Theory Statistics


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Model-based compressive sensing RG Baraniuk, V Cevher, MF Duarte, C Hegde IEEE Transactions on information theory 56 (4), 1982-2001, 2010	1934	2010
Compressive sensing for background subtraction V Cevher, A Sankaranarayanan, MF Duarte, D Reddy, RG Baraniuk, ... European Conference on Computer Vision, 155-168, 2008	384	2008
Ultrasensitive hyperspectral imaging and biodetection enabled by dielectric metasurfaces HA Filiz Yesilkoy, Eduardo R Arvelo, Yasaman Jahani, Mingkai Liu, Andreas ... Nature Photonics, 2019	341	2019
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	311	2014
Junction tree algorithm D Kahle, T Savitsky, S Schnelle, V Cevher Stat 631, 2008	223	2008
Sparse signal recovery using markov random fields V Cevher, M Duarte, C Hegde, R Baraniuk Advances in Neural Information Processing Systems 21, 2008	214	2008
Distributed target localization via spatial sparsity V Cevher, MF Duarte, RG Baraniuk 2008 16th European Signal Processing Conference, 1-5, 2008	202	2008
A compressive beamforming method AC Gurbuz, JH McClellan, V Cevher 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008	197	2008
Bilinear generalized approximate message passing—Part I: Derivation JT Parker, P Schniter, V Cevher IEEE Transactions on Signal Processing 62 (22), 5839-5853, 2014	187	2014
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	187	2010
High-dimensional gaussian process bandits J Djolonga, A Krause, V Cevher Advances in neural information processing systems 26, 2013	173	2013
WASP: Scalable Bayes via barycenters of subset posteriors S Srivastava, V Cevher, Q Dinh, D Dunson Artificial Intelligence and Statistics, 912-920, 2015	145	2015
Submodular dictionary selection for sparse representation A Krause, V Cevher International Conference on Machine Learning (ICML), 2010	135	2010
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	134	2017
Vehicle speed estimation using acoustic wave patterns V Cevher, R Chellappa, JH McClellan IEEE Transactions on signal processing 57 (1), 30-47, 2008	134	2008
Learning with compressible priors V Cevher Advances in Neural Information Processing Systems 22, 2009	118	2009
Recovery of clustered sparse signals from compressive measurements V Cevher, P Indyk, C Hegde, RG Baraniuk RICE UNIV HOUSTON TX DEPT OF ELECTRICAL AND COMPUTER ENGINEERING, 2009	109	2009
Compressible distributions for high-dimensional statistics R Gribonval, V Cevher, ME Davies IEEE Transactions on Information Theory 58 (8), 5016-5034, 2012	107	2012
Compressive wireless arrays for bearing estimation V Cevher, AC Gurbuz, JH McClellan, R Chellappa 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008	105	2008
Fixed points of generalized approximate message passing with arbitrary matrices S Rangan, P Schniter, E Riegler, AK Fletcher, V Cevher IEEE Transactions on Information Theory 62 (12), 7464-7474, 2016	99	2016

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