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Yaniv Romano
Yaniv Romano
Assistant Professor of Electrical Engineering and Computer Science, Technion, Israel
Correu electrònic verificat a technion.ac.il - Pàgina d'inici
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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
9312017
Conformalized quantile regression
Y Romano, E Patterson, E Candes
Advances in neural information processing systems 32, 2019
6702019
RAISR: rapid and accurate image super resolution
Y Romano, J Isidoro, P Milanfar
IEEE Transactions on Computational Imaging 3 (1), 110-125, 2016
3462016
Convolutional neural networks analyzed via convolutional sparse coding
V Papyan, Y Romano, M Elad
Journal of Machine Learning Research 18 (83), 1-52, 2017
3342017
Classification with valid and adaptive coverage
Y Romano, M Sesia, E Candes
Advances in Neural Information Processing Systems 33, 3581-3591, 2020
3272020
Deep knockoffs
Y Romano, M Sesia, E Candès
Journal of the American Statistical Association 115 (532), 1861-1872, 2020
1792020
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
1732017
Boosting of Image Denoising Algorithms
Y Romano, M Elad
arXiv preprint arXiv:1502.06220, 2015
1682015
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
1552023
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
1532018
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
1502018
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
1502014
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
1142016
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
1072022
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
922020
Conformal prediction using conditional histograms
M Sesia, Y Romano
Advances in Neural Information Processing Systems 34, 6304-6315, 2021
812021
Training uncertainty-aware classifiers with conformalized deep learning
BS Einbinder, Y Romano, M Sesia, Y Zhou
Advances in Neural Information Processing Systems 35, 22380-22395, 2022
512022
Achieving equalized odds by resampling sensitive attributes
Y Romano, S Bates, E Candes
Advances in neural information processing systems 33, 361-371, 2020
512020
Improving K-SVD denoising by post-processing its method-noise
Y Romano, M Elad
2013 IEEE International Conference on Image Processing, 435-439, 2013
492013
Improving conditional coverage via orthogonal quantile regression
S Feldman, S Bates, Y Romano
Advances in neural information processing systems 34, 2060-2071, 2021
472021
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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