E-LIB Suche - Ergebnisse für: Romano, Yaniv

1

Principal Uncertainty Quantification With Spatial Correlati..:

Belhasin, Omer ; Romano, Yaniv ; Freedman, Daniel..
IEEE Transactions on Pattern Analysis and Machine Intelligence. 46 (2024) 5 - p. 3321-3333 , 2024

Link: https://doi.org/10.1109/..

2

Pivotal Auto-Encoder via Self-Normalizing ReLU:

Goldenstein, Nelson ; Sulam, Jeremias ; Romano, Yaniv
IEEE Transactions on Signal Processing. , 2024

Link: https://doi.org/10.1109/..

3

Quantum sparse coding:

Romano, Yaniv ; Primack, Harel ; Vaknin, Talya...
Quantum Machine Intelligence. 6 (2024) 1 - p. , 2024

Link: https://doi.org/10.1007/..

4

Learning to increase the power of conditional randomization..:

Shaer, Shalev ; Romano, Yaniv
Machine Learning. 112 (2023) 7 - p. 2317-2357 , 2023

Link: https://doi.org/10.1007/..

5

Utilizing risk-controlling prediction calibration to reduce..:

Segal, Galya ; Keidar, Noam ; Lotan, Roy Maor...
Frontiers in Neuroscience. 17 (2023) - p. , 2023

Link: https://doi.org/10.3389/..

6

Deep Knockoffs:

Romano, Yaniv ; Sesia, Matteo ; Candès, Emmanuel
Journal of the American Statistical Association. 115 (2019) 532 - p. 1861-1872 , 2019

Link: https://doi.org/10.1080/..

7

Unified Single-Image and Video Super-Resolution via Denoisi..:

Brifman, Alon ; Romano, Yaniv ; Elad, Michael
IEEE Transactions on Image Processing. 28 (2019) 12 - p. 6063-6076 , 2019

Link: https://doi.org/10.1109/..

8

Acceleration of RED via vector extrapolation:

Hong, Tao ; Romano, Yaniv ; Elad, Michael
Journal of Visual Communication and Image Representation. 63 (2019) - p. 102575 , 2019

Link: https://doi.org/10.1016/..

9

Adversarial Noise Attacks of Deep Learning Architectures: S..:

Romano, Yaniv ; Aberdam, Aviad ; Sulam, Jeremias.
Journal of Mathematical Imaging and Vision. 62 (2019) 3 - p. 313-327 , 2019

Link: https://doi.org/10.1007/..

10

SOS Boosting for Image Deblurring Algorithms:

, In: 2019 27th European Signal Processing Conference (EUSIPCO),

Peled, Shahar Romem ; Romano, Yaniv ; Elad, Michael - p. 1-5 , 2019

Link: https://doi.org/10.23919..

11

Theoretical Foundations of Deep Learning via Sparse Represe..:

Papyan, Vardan ; Romano, Yaniv ; Sulam, Jeremias.
IEEE Signal Processing Magazine. 35 (2018) 4 - p. 72-89 , 2018

Link: https://doi.org/10.1109/..

12

Dynamical system classification with diffusion embedding fo..:

Sulam, Jeremias ; Romano, Yaniv ; Talmon, Ronen
Signal Processing. 130 (2017) - p. 403-411 , 2017

Link: https://doi.org/10.1016/..

13

The Little Engine That Could: Regularization by Denoising (..:

Romano, Yaniv ; Elad, Michael ; Milanfar, Peyman
SIAM Journal on Imaging Sciences. 10 (2017) 4 - p. 1804-1844 , 2017

Link: https://doi.org/10.1137/..

14

Boosting of Image Denoising Algorithms:

Romano, Yaniv ; Elad, Michael
SIAM Journal on Imaging Sciences. 8 (2015) 2 - p. 1187-1219 , 2015

Link: https://doi.org/10.1137/..

15

Early Time Classification with Accumulated Accuracy Gap Con..:

Ringel, Liran ; Cohen, Regev ; Freedman, Daniel..
http://arxiv.org/abs/2402.00857. , 2024

Link: http://arxiv.org/abs/240..