Yaniv Romano

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i10-index	29	29

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Michael EladProfessor of Computer Science, Technion, IsraelAdresă de e-mail confirmată pe cs.technion.ac.il
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
Matteo SesiaUniversity of Southern CaliforniaAdresă de e-mail confirmată pe usc.edu
Jeremias SulamAssistant Professor, BME, Johns Hopkins UniversityAdresă de e-mail confirmată pe jhu.edu
Vardan PapyanAssistant Professor, Department of Mathematics, University of TorontoAdresă de e-mail confirmată pe utoronto.ca
Peyman MilanfarDistinguished Scientist, Google ResearchAdresă de e-mail confirmată pe google.com
Stephen BatesUC BerkeleyAdresă de e-mail confirmată pe cs.berkeley.edu
Evan PattersonTopos InstituteAdresă de e-mail confirmată pe epatters.org
Shai FeldmanAdresă de e-mail confirmată pe cs.technion.ac.il
Chiara SabattiProfessor of Biomedical Data Science and of Statistics, Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
Anastasios Nikolas AngelopoulosPhD Candidate, EECS, University of California, BerkeleyAdresă de e-mail confirmată pe berkeley.edu
Matan ProtterBigPandaAdresă de e-mail confirmată pe bigpanda.io
LIHUA LEIStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Rina Foygel BarberUniversity of ChicagoAdresă de e-mail confirmată pe uchicago.edu
Shuangning LiHarvard UniversityAdresă de e-mail confirmată pe fas.harvard.edu
Dror SimonComputer Science Department, TechnionAdresă de e-mail confirmată pe cs.technion.ac.il
Yue M. LuGordon McKay Professor of Electrical Engineering and of Applied Mathematics, Harvard UniversityAdresă de e-mail confirmată pe seas.harvard.edu
Srigokul UpadhyayulaUniversity of California, BerkeleyAdresă de e-mail confirmată pe berkeley.edu
Thayer AlshaabiUniversity of California, BerkeleyAdresă de e-mail confirmată pe berkeley.edu
Jitendra MalikProfessor of EECS, UC BerkeleyAdresă de e-mail confirmată pe eecs.berkeley.edu

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Yaniv Romano

Assistant Professor of Electrical Engineering and Computer Science, Technion, Israel

Adresă de e-mail confirmată pe technion.ac.il - Pagina de pornire

Machine Learning Statistics Deep Learning Sparse Representations Inverse Problems


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
The little engine that could: Regularization by denoising (RED) Y Romano, M Elad, P Milanfar SIAM Journal on Imaging Sciences 10 (4), 1804-1844, 2017	601	2017
Conformalized quantile regression Y Romano, E Patterson, E Candes Advances in neural information processing systems 32, 2019	294	2019
RAISR: rapid and accurate image super resolution Y Romano, J Isidoro, P Milanfar IEEE Transactions on Computational Imaging 3 (1), 110-125, 2016	284	2016
Convolutional neural networks analyzed via convolutional sparse coding V Papyan, Y Romano, M Elad The Journal of Machine Learning Research 18 (1), 2887-2938, 2017	278	2017
Convolutional dictionary learning via local processing V Papyan, Y Romano, J Sulam, M Elad Proceedings of the IEEE International Conference on Computer Vision, 5296-5304, 2017	145	2017
Multilayer convolutional sparse modeling: Pursuit and dictionary learning J Sulam, V Papyan, Y Romano, M Elad IEEE Transactions on Signal Processing 66 (15), 4090-4104, 2018	137	2018
Single image interpolation via adaptive nonlocal sparsity-based modeling Y Romano, M Protter, M Elad IEEE Transactions on Image Processing 23 (7), 3085-3098, 2014	137	2014
Boosting of Image Denoising Algorithms Y Romano, M Elad arXiv preprint arXiv:1502.06220, 2015	128	2015
Theoretical foundations of deep learning via sparse representations: A multilayer sparse model and its connection to convolutional neural networks V Papyan, Y Romano, J Sulam, M Elad IEEE Signal Processing Magazine 35 (4), 72-89, 2018	122	2018
Deep knockoffs Y Romano, M Sesia, E Candès Journal of the American Statistical Association 115 (532), 1861-1872, 2020	120	2020
Classification with valid and adaptive coverage Y Romano, M Sesia, E Candes Advances in Neural Information Processing Systems 33, 3581-3591, 2020	105	2020
Turning a denoiser into a super-resolver using plug and play priors A Brifman, Y Romano, M Elad 2016 IEEE International Conference on Image Processing (ICIP), 1404-1408, 2016	95	2016
Testing for outliers with conformal p-values S Bates, E Candès, L Lei, Y Romano, M Sesia The Annals of Statistics 51 (1), 149-178, 2023	55	2023
With malice toward none: Assessing uncertainty via equalized coverage Y Romano, RF Barber, C Sabatti, E Candès Harvard Data Science Review 2 (2), 4, 2020	45	2020
Improving K-SVD denoising by post-processing its method-noise Y Romano, M Elad 2013 IEEE International Conference on Image Processing, 435-439, 2013	44	2013
Unified single-image and video super-resolution via denoising algorithms A Brifman, Y Romano, M Elad IEEE Transactions on Image Processing 28 (12), 6063-6076, 2019	43	2019
Patch-disagreement as a way to improve K-SVD denoising Y Romano, M Elad 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015	28	2015
Image-to-image regression with distribution-free uncertainty quantification and applications in imaging AN Angelopoulos, AP Kohli, S Bates, M Jordan, J Malik, T Alshaabi, ... International Conference on Machine Learning, 717-730, 2022	27	2022
Conformal prediction using conditional histograms M Sesia, Y Romano Advances in Neural Information Processing Systems 34, 6304-6315, 2021	27*	2021
Con-patch: When a patch meets its context Y Romano, M Elad IEEE Transactions on Image Processing 25 (9), 3967-3978, 2016	24	2016

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