Volkan Cevher

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Jonathan ScarlettAssociate Professor, Computer Science and Mathematics, National University of SingaporeVerified email at comp.nus.edu.sg
Alp YurtseverUmeå UniversityVerified email at umu.se
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Quoc Tran-DinhDepartment of Statistics and Operations Research, UNCVerified email at email.unc.edu
Anastasios KyrillidisAssociate Professor, Computer Science Department, Ken Kennedy Institute Fellow, Rice UniversityVerified email at rice.edu
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechVerified email at caltech.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
Madeleine UdellAssistant Professor, Management Science and Engineering, Stanford UniversityVerified email at stanford.edu
Chinmay HegdeNew York UniversityVerified email at nyu.edu
Olivier FercoqTelecom ParisVerified email at telecom-paristech.fr
Yen-Huan LiAssociate Professor of Computer Science, National Taiwan UniversityVerified email at csie.ntu.edu.tw
Stephen BeckerAssociate Professor at University of ColoradoVerified email at colorado.edu
Luca BaldassarreAI Governance Director, Swiss ReVerified email at swissre.com
Afsaneh AsaeiHead of AIVerified email at unternehmertum.de
Aswin C SankaranarayananProfessor, ECE, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Hervé BourlardDirector, Idiap Research Institute; Professor at EPFLVerified email at idiap.ch
Philip SchniterThe Ohio State UniversityVerified email at osu.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Cosimo AprileEPFLVerified email at epfl.ch

Volkan Cevher

Associate Professor, LIONS, EPFL. Amazon Scholar.

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	2105	2010
Ultrasensitive hyperspectral imaging and biodetection enabled by dielectric metasurfaces HA Filiz Yesilkoy, Eduardo R Arvelo, Yasaman Jahani, Mingkai Liu, Andreas ... Nature Photonics, 2019	772	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	406	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	369	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	270	2022
Bilinear generalized approximate message passing—Part I: Derivation JT Parker, P Schniter, V Cevher IEEE Transactions on Signal Processing 62 (22), 5839-5853, 2014	266	2014
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	240	2017
Sparse signal recovery using markov random fields V Cevher, M Duarte, C Hegde, R Baraniuk Advances in Neural Information Processing Systems 21, 2008	225	2008
High-dimensional gaussian process bandits J Djolonga, A Krause, V Cevher Advances in neural information processing systems 26, 2013	207	2013
Distributed target localization via spatial sparsity V Cevher, MF Duarte, RG Baraniuk 2008 16th European signal processing conference, 1-5, 2008	206	2008
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	201	2010
A compressive beamforming method AC Gurbuz, JH McClellan, V Cevher 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008	201	2008
WASP: Scalable Bayes via barycenters of subset posteriors S Srivastava, V Cevher, Q Dinh, D Dunson Artificial intelligence and statistics, 912-920, 2015	189	2015
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	153	2021
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	150	2018
Submodular dictionary selection for sparse representation A Krause, V Cevher International Conference on Machine Learning (ICML), 2010	147	2010
Adversarially robust optimization with Gaussian processes I Bogunovic, J Scarlett, S Jegelka, V Cevher Advances in neural information processing systems 31, 2018	146	2018
Vehicle speed estimation using acoustic wave patterns V Cevher, R Chellappa, JH McClellan IEEE Transactions on signal processing 57 (1), 30-47, 2008	146	2008
Lipschitz constant estimation of neural networks via sparse polynomial optimization F Latorre, P Rolland, V Cevher arXiv preprint arXiv:2004.08688, 2020	142	2020
High-dimensional Bayesian optimization via additive models with overlapping groups P Rolland, J Scarlett, I Bogunovic, V Cevher International conference on artificial intelligence and statistics, 298-307, 2018	127	2018

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