Seuraa
Volkan Cevher
Volkan Cevher
Associate Professor, LIONS, EPFL. Amazon Scholar.
Vahvistettu sähköpostiosoite verkkotunnuksessa epfl.ch - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Model-based compressive sensing
RG Baraniuk, V Cevher, MF Duarte, C Hegde
IEEE Transactions on information theory 56 (4), 1982-2001, 2010
20692010
Ultrasensitive hyperspectral imaging and biodetection enabled by dielectric metasurfaces
HA Filiz Yesilkoy, Eduardo R Arvelo, Yasaman Jahani, Mingkai Liu, Andreas ...
Nature Photonics, 2019
6712019
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
4032008
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
3562014
Bilinear generalized approximate message passing—Part I: Derivation
JT Parker, P Schniter, V Cevher
IEEE Transactions on Signal Processing 62 (22), 5839-5853, 2014
2462014
Sparse signal recovery using markov random fields
V Cevher, M Duarte, C Hegde, R Baraniuk
Advances in Neural Information Processing Systems 21, 2008
2232008
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
2132017
Distributed target localization via spatial sparsity
V Cevher, MF Duarte, RG Baraniuk
2008 16th European signal processing conference, 1-5, 2008
2072008
A compressive beamforming method
AC Gurbuz, JH McClellan, V Cevher
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
2002008
High-dimensional gaussian process bandits
J Djolonga, A Krause, V Cevher
Advances in neural information processing systems 26, 2013
1992013
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
1942010
WASP: Scalable Bayes via barycenters of subset posteriors
S Srivastava, V Cevher, Q Dinh, D Dunson
Artificial intelligence and statistics, 912-920, 2015
1782015
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
1722022
Submodular dictionary selection for sparse representation
A Krause, V Cevher
International Conference on Machine Learning (ICML), 2010
1462010
Vehicle speed estimation using acoustic wave patterns
V Cevher, R Chellappa, JH McClellan
IEEE Transactions on signal processing 57 (1), 30-47, 2008
1442008
Adversarially robust optimization with Gaussian processes
I Bogunovic, J Scarlett, S Jegelka, V Cevher
Advances in neural information processing systems 31, 2018
1392018
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
1372018
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
1352021
Lipschitz constant estimation of neural networks via sparse polynomial optimization
F Latorre, P Rolland, V Cevher
arXiv preprint arXiv:2004.08688, 2020
1272020
Learning with compressible priors
V Cevher
Advances in Neural Information Processing Systems 22, 2009
1202009
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Artikkelit 1–20