Yaniv Romano

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Michael EladProfessor of Computer Science, Technion, IsraelDirección de correo verificada de cs.technion.ac.il
Jeremias SulamAssistant Professor, BME, Johns Hopkins UniversityDirección de correo verificada de jhu.edu
Vardan PapyanAssistant Professor, Department of Mathematics, University of TorontoDirección de correo verificada de utoronto.ca
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityDirección de correo verificada de stanford.edu
Matteo SesiaAssistant Professor of Data Sciences and Operations, USC MarshallDirección de correo verificada de usc.edu
Peyman MilanfarPrincipal Scientist / Director, Google ResearchDirección de correo verificada de google.com
Stephen BatesUC BerkeleyDirección de correo verificada de cs.berkeley.edu
Evan PattersonTopos InstituteDirección de correo verificada de epatters.org
Matan ProtterBigPandaDirección de correo verificada de bigpanda.io
Chiara SabattiProfessor of Biomedical Data Science and of Statistics, Stanford UniversityDirección de correo verificada de stanford.edu
Rina Foygel BarberUniversity of ChicagoDirección de correo verificada de uchicago.edu
LIHUA LEIPostdoctoral researcher in statistics, Stanford UniversityDirección de correo verificada de stanford.edu
Dror SimonComputer Science Department, TechnionDirección de correo verificada de cs.technion.ac.il
Yue M. LuGordon McKay Professor of Electrical Engineering and of Applied Mathematics, Harvard UniversityDirección de correo verificada de seas.harvard.edu
Ronen TalmonAssociate Professor, EE Department, TechnionDirección de correo verificada de ee.technion.ac.il
Dmitry BatenkovAssistant Professor of Applied Mathematics, Tel-Aviv University, IsraelDirección de correo verificada de tauex.tau.ac.il
Aviad AberdamPhD Student, EE Department, TechnionDirección de correo verificada de campus.technion.ac.il
Shuangning LiStanford UniversityDirección de correo verificada de stanford.edu
Anastasios Nikolas AngelopoulosPhD Candidate, EECS, University of California, BerkeleyDirección de correo verificada de berkeley.edu
Tao HongPostdoc, fMRI, UM, Ann ArborDirección de correo verificada de umich.edu

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Yaniv Romano

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

Dirección de correo verificada de technion.ac.il - Página principal

Machine Learning Statistics Deep Learning Sparse Representations Inverse Problems


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	441	2017
RAISR: rapid and accurate image super resolution Y Romano, J Isidoro, P Milanfar IEEE Transactions on Computational Imaging 3 (1), 110-125, 2016	243	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	242	2017
Conformalized quantile regression Y Romano, E Patterson, E Candes Advances in neural information processing systems 32, 2019	172	2019
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	131	2014
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	124	2018
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	124	2017
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	108	2018
Boosting of Image Denoising Algorithms Y Romano, M Elad arXiv preprint arXiv:1502.06220, 2015	108	2015
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	82	2016
Deep knockoffs Y Romano, M Sesia, E Candès Journal of the American Statistical Association 115 (532), 1861-1872, 2020	81	2020
Classification with valid and adaptive coverage Y Romano, M Sesia, E Candes Advances in Neural Information Processing Systems 33, 3581-3591, 2020	49	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	42	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	32	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
Testing for outliers with conformal p-values S Bates, E Candès, L Lei, Y Romano, M Sesia arXiv preprint arXiv:2104.08279, 2021	25	2021
With malice towards none: Assessing uncertainty via equalized coverage Y Romano, RF Barber, C Sabatti, EJ Candès arXiv preprint arXiv:1908.05428, 2019	25	2019
Con-patch: When a patch meets its context Y Romano, M Elad IEEE Transactions on Image Processing 25 (9), 3967-3978, 2016	21	2016
Dynamical system classification with diffusion embedding for ECG-based person identification J Sulam, Y Romano, R Talmon Signal Processing 130, 403-411, 2017	19	2017
Adversarial noise attacks of deep learning architectures: Stability analysis via sparse-modeled signals Y Romano, A Aberdam, J Sulam, M Elad Journal of Mathematical Imaging and Vision 62 (3), 313-327, 2020	17	2020

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