Yaniv Romano
Yaniv Romano
Assistant Professor of Electrical Engineering and Computer Science, Technion, Israel
Zweryfikowany adres z technion.ac.il - Strona główna
Cytowane przez
Cytowane przez
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
RAISR: rapid and accurate image super resolution
Y Romano, J Isidoro, P Milanfar
IEEE Transactions on Computational Imaging 3 (1), 110-125, 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
Conformalized quantile regression
Y Romano, E Patterson, E Candes
Advances in neural information processing systems 32, 2019
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
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
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
Boosting of Image Denoising Algorithms
Y Romano, M Elad
arXiv preprint arXiv:1502.06220, 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
Deep knockoffs
Y Romano, M Sesia, E Candès
Journal of the American Statistical Association 115 (532), 1861-1872, 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
Classification with valid and adaptive coverage
Y Romano, M Sesia, E Candes
Advances in Neural Information Processing Systems 33, 3581-3591, 2020
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
Improving K-SVD denoising by post-processing its method-noise
Y Romano, M Elad
2013 IEEE International Conference on Image Processing, 435-439, 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
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
Patch-disagreement as a way to improve K-SVD denoising
Y Romano, M Elad
2015 IEEE International Conference on Acoustics, Speech and Signal …, 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
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, 313-327, 2020
Con-patch: When a patch meets its context
Y Romano, M Elad
IEEE Transactions on Image Processing 25 (9), 3967-3978, 2016
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