Volkan Cevher

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Jonathan ScarlettAssociate Professor, Computer Science and Mathematics, National University of SingaporeAdresse e-mail validée de comp.nus.edu.sg
Alp YurtseverUmeå UniversityAdresse e-mail validée de umu.se
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityAdresse e-mail validée de rice.edu
Quoc Tran-DinhDepartment of Statistics and Operations Research, UNCAdresse e-mail validée de email.unc.edu
Anastasios KyrillidisAssociate Professor, Computer Science Department, Ken Kennedy Institute Fellow, Rice UniversityAdresse e-mail validée de rice.edu
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechAdresse e-mail validée de caltech.edu
Marco F. DuarteAssociate Professor of Electrical and Computer Engineering, University of Massachusetts AmherstAdresse e-mail validée de ecs.umass.edu
Ilija BogunovicAssistant professor, UCLAdresse e-mail validée de ucl.ac.uk
Madeleine UdellAssistant Professor, Management Science and Engineering, Stanford UniversityAdresse e-mail validée de stanford.edu
Chinmay HegdeNew York UniversityAdresse e-mail validée de nyu.edu
Olivier FercoqTelecom ParisAdresse e-mail validée de telecom-paristech.fr
Yen-Huan LiAssociate Professor of Computer Science, National Taiwan UniversityAdresse e-mail validée de csie.ntu.edu.tw
Stephen BeckerAssociate Professor at University of ColoradoAdresse e-mail validée de colorado.edu
Luca BaldassarreAI Governance Director, Swiss ReAdresse e-mail validée de swissre.com
Afsaneh AsaeiHead of AIAdresse e-mail validée de unternehmertum.de
Aswin C SankaranarayananProfessor, ECE, Carnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Hervé BourlardDirector, Idiap Research Institute; Professor at EPFLAdresse e-mail validée de idiap.ch
Philip SchniterThe Ohio State UniversityAdresse e-mail validée de osu.edu
Andreas KrauseProfessor of Computer Science, ETH ZurichAdresse e-mail validée de inf.ethz.ch
Cosimo AprileEPFLAdresse e-mail validée de epfl.ch

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Volkan Cevher

Associate Professor, LIONS, EPFL. Amazon Scholar.

Adresse e-mail validée de epfl.ch - Page d'accueil

Machine Learning Optimization Signal Processing Information Theory Statistics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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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