Yaniv Romano

According to our database, Yaniv Romano authored at least 52 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Quantum sparse coding.

Yaniv Romano, Harel Primack, Talya Vaknin, Idan Meirzada, Ilan Karpas, Dov Furman, Chene Tradonsky, Ruti Ben-Shlomi

Quantum Mach. Intell., June, 2024

Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems.

Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Early Time Classification with Accumulated Accuracy Gap Control.

Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano

CoRR, 2024

2023

Learning to increase the power of conditional randomization tests.

Shalev Shaer, Yaniv Romano

Mach. Learn., July, 2023

Calibrated Multiple-Output Quantile Regression with Representation Learning.

Shai Feldman, Stephen Bates, Yaniv Romano

J. Mach. Learn. Res., 2023

Lightsolver challenges a leading deep learning solver for Max-2-SAT problems.

Hod Wirzberger, Assaf Kalinski, Idan Meirzada, Harel Primack, Yaniv Romano, Chene Tradonsky, Ruti Ben-Shlomi

CoRR, 2023

Derandomized novelty detection with FDR control via conformal e-values.

Meshi Bashari, Amir Epstein, Yaniv Romano, Matteo Sesia

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Conformal Prediction with Missing Values.

Margaux Zaffran, Aymeric Dieuleveut, Julie Josse, Yaniv Romano

Proceedings of the International Conference on Machine Learning, 2023

Fast Nonlinear Vector Quantile Regression.

Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alexander M. Bronstein

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Conformal Prediction is Robust to Dispersive Label Noise.

Shai Feldman, Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

Model-X Sequential Testing for Conditional Independence via Testing by Betting.

Shalev Shaer, Gal Maman, Yaniv Romano

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Conformal Prediction is Robust to Label Noise.

Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano

CoRR, 2022

From Shapley back to Pearson: Hypothesis Testing via the Shapley Value.

Jacopo Teneggi, Beepul Bharti, Yaniv Romano, Jeremias Sulam

CoRR, 2022

Semantic uncertainty intervals for disentangled latent spaces.

Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Training Uncertainty-Aware Classifiers with Conformalized Deep Learning.

Bat-Sheva Einbinder, Yaniv Romano, Matteo Sesia, Yanfei Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings.

Meyer Scetbon, Laurent Meunier, Yaniv Romano

Proceedings of the International Conference on Machine Learning, 2022

Coordinated Double Machine Learning.

Nitai Fingerhut, Matteo Sesia, Yaniv Romano

Proceedings of the International Conference on Machine Learning, 2022

Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging.

Anastasios N. Angelopoulos, Amit Pal Singh Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano

Proceedings of the International Conference on Machine Learning, 2022

Adversarially Robust Conformal Prediction.

Asaf Gendler, Tsui-Wei Weng, Luca Daniel, Yaniv Romano

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

An 𝓁^p-based Kernel Conditional Independence Test.

Meyer Scetbon, Laurent Meunier, Yaniv Romano

CoRR, 2021

Conformal Prediction using Conditional Histograms.

Matteo Sesia, Yaniv Romano

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Conditional Coverage via Orthogonal Quantile Regression.

Shai Feldman, Stephen Bates, Yaniv Romano

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via Sparse-Modeled Signals.

Yaniv Romano, Aviad Aberdam, Jeremias Sulam, Michael Elad

J. Math. Imaging Vis., 2020

Classification with Valid and Adaptive Coverage.

Yaniv Romano, Matteo Sesia, Emmanuel J. Candès

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Achieving Equalized Odds by Resampling Sensitive Attributes.

Yaniv Romano, Stephen Bates, Emmanuel J. Candès

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance.

Dror Simon, Jeremias Sulam, Yaniv Romano, Yue M. Lu, Michael Elad

IEEE Trans. Signal Process., 2019

Unified Single-Image and Video Super-Resolution via Denoising Algorithms.

Alon Brifman, Yaniv Romano, Michael Elad

IEEE Trans. Image Process., 2019

Acceleration of RED via vector extrapolation.

Tao Hong, Yaniv Romano, Michael Elad

J. Vis. Commun. Image Represent., 2019

With Malice Towards None: Assessing Uncertainty via Equalized Coverage.

Yaniv Romano, Rina Foygel Barber, Chiara Sabatti, Emmanuel J. Candès

CoRR, 2019

Conformalized Quantile Regression.

Yaniv Romano, Evan Patterson, Emmanuel J. Candès

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SOS Boosting for Image Deblurring Algorithms.

Shahar Romem Peled, Yaniv Romano, Michael Elad

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning.

Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad

IEEE Trans. Signal Process., 2018

Example-Based Image Synthesis via Randomized Patch-Matching.

Yi Ren, Yaniv Romano, Michael Elad

IEEE Trans. Image Process., 2018

Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks.

Vardan Papyan, Yaniv Romano, Jeremias Sulam, Michael Elad

IEEE Signal Process. Mag., 2018

Improving Pursuit Algorithms Using Stochastic Resonance.

Dror Simon, Jeremias Sulam, Yaniv Romano, Yue M. Lu, Michael Elad

CoRR, 2018

Classification Stability for Sparse-Modeled Signals.

Yaniv Romano, Michael Elad

CoRR, 2018

Projecting on to the Multi-Layer Convolutional Sparse Coding Model.

Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

RED-UCATION: A Novel CNN Architecture Based on Denoising Nonlinearities.

Yaniv Romano, Michael Elad, Peyman Milanfar

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

RAISR: Rapid and Accurate Image Super Resolution.

Yaniv Romano, John Isidoro, Peyman Milanfar

IEEE Trans. Computational Imaging, 2017

Dynamical system classification with diffusion embedding for ECG-based person identification.

Jeremias Sulam, Yaniv Romano, Ronen Talmon

Signal Process., 2017

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

Yaniv Romano, Michael Elad, Peyman Milanfar

SIAM J. Imaging Sci., 2017

Convolutional Neural Networks Analyzed via Convolutional Sparse Coding.

Vardan Papyan, Yaniv Romano, Michael Elad

J. Mach. Learn. Res., 2017

Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning.

Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad

CoRR, 2017

On the Global-Local Dichotomy in Sparsity Modeling.

Dmitry Batenkov, Yaniv Romano, Michael Elad

CoRR, 2017

Convolutional Dictionary Learning via Local Processing.

Vardan Papyan, Yaniv Romano, Michael Elad, Jeremias Sulam

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Con-Patch: When a Patch Meets Its Context.

Yaniv Romano, Michael Elad

IEEE Trans. Image Process., 2016

Turning a denoiser into a super-resolver using plug and play priors.

Alon Brifman, Yaniv Romano, Michael Elad

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Boosting of Image Denoising Algorithms.

Yaniv Romano, Michael Elad

SIAM J. Imaging Sci., 2015

SOS Boosting of Image Denoising Algorithms.

Yaniv Romano, Michael Elad

CoRR, 2015

Patch-disagreement as away to improve K-SVD denoising.

Yaniv Romano, Michael Elad

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Single Image Interpolation Via Adaptive Nonlocal Sparsity-Based Modeling.

Yaniv Romano, Matan Protter, Michael Elad

IEEE Trans. Image Process., 2014

2013

Improving K-SVD denoising by post-processing its method-noise.

Yaniv Romano, Michael Elad

Proceedings of the IEEE International Conference on Image Processing, 2013