Yaniv Romano

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 74

Top Topics

Dictionary Learning

Conformal Prediction

Conditional Independence

Top Venues

IEEE Trans. Image Process.

Publications

Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano
Early Time Classification with Accumulated Accuracy Gap Control. CoRR (2024)
Ge Yan, Yaniv Romano, Tsui-Wei Weng
Provably Robust Conformal Prediction with Improved Efficiency. ICLR (2024)
Yaniv Romano, Harel Primack, Talya Vaknin, Idan Meirzada, Ilan Karpas, Dov Furman, Chene Tradonsky, Ruti Ben-Shlomi
Quantum sparse coding. Quantum Mach. Intell. 6 (1) (2024)
Ge Yan, Yaniv Romano, Tsui-Wei Weng
Provably Robust Conformal Prediction with Improved Efficiency. CoRR (2024)
Nelson Goldenstein, Jeremias Sulam, Yaniv Romano
Pivotal Auto-Encoder via Self-Normalizing ReLU. CoRR (2024)
Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad
Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Nelson Goldenstein, Jeremias Sulam, Yaniv Romano
Pivotal Auto-Encoder via Self-Normalizing ReLU. IEEE Trans. Signal Process. 72 (2024)
Shai Feldman, Yaniv Romano
Robust Conformal Prediction Using Privileged Information. CoRR (2024)
Roy Maor Lotan, Inbal Talgam-Cohen, Yaniv Romano
Strategy-Proof Auctions through Conformal Prediction. CoRR (2024)
Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems. CoRR (2023)
Hod Wirzberger, Assaf Kalinski, Idan Meirzada, Harel Primack, Yaniv Romano, Chene Tradonsky, Ruti Ben-Shlomi
Lightsolver challenges a leading deep learning solver for Max-2-SAT problems. CoRR (2023)
Shai Feldman, Liran Ringel, Stephen Bates, Yaniv Romano
Achieving Risk Control in Online Learning Settings. Trans. Mach. Learn. Res. 2023 (2023)
Jacopo Teneggi, Beepul Bharti, Yaniv Romano, Jeremias Sulam
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing. Trans. Mach. Learn. Res. 2023 (2023)
Margaux Zaffran, Aymeric Dieuleveut, Julie Josse, Yaniv Romano
Conformal Prediction with Missing Values. ICML (2023)
Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alexander M. Bronstein
Fast Nonlinear Vector Quantile Regression. ICLR (2023)
Shalev Shaer, Gal Maman, Yaniv Romano
Model-X Sequential Testing for Conditional Independence via Testing by Betting. AISTATS (2023)
Meshi Bashari, Amir Epstein, Yaniv Romano, Matteo Sesia
Derandomized novelty detection with FDR control via conformal e-values. NeurIPS (2023)
Margaux Zaffran, Aymeric Dieuleveut, Julie Josse, Yaniv Romano
Conformal Prediction with Missing Values. CoRR (2023)
Meshi Bashari, Amir Epstein, Yaniv Romano, Matteo Sesia
Derandomized Novelty Detection with FDR Control via Conformal E-values. CoRR (2023)
Shai Feldman, Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano
Conformal Prediction is Robust to Dispersive Label Noise. COPA (2023)
Shai Feldman, Stephen Bates, Yaniv Romano
Calibrated Multiple-Output Quantile Regression with Representation Learning. J. Mach. Learn. Res. 24 (2023)
Shalev Shaer, Yaniv Romano
Learning to increase the power of conditional randomization tests. Mach. Learn. 112 (7) (2023)
Asaf Gendler, Tsui-Wei Weng, Luca Daniel, Yaniv Romano
Adversarially Robust Conformal Prediction. ICLR (2022)
Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano
Conformal Prediction is Robust to Label Noise. CoRR (2022)
Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola
Semantic uncertainty intervals for disentangled latent spaces. NeurIPS (2022)
Bat-Sheva Einbinder, Yaniv Romano, Matteo Sesia, Yanfei Zhou
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning. NeurIPS (2022)
Nitai Fingerhut, Matteo Sesia, Yaniv Romano
Coordinated Double Machine Learning. ICML (2022)
Meyer Scetbon, Laurent Meunier, Yaniv Romano
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings. ICML (2022)
Bat-Sheva Einbinder, Yaniv Romano, Matteo Sesia, Yanfei Zhou
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning. CoRR (2022)
Jacopo Teneggi, Beepul Bharti, Yaniv Romano, Jeremias Sulam
From Shapley back to Pearson: Hypothesis Testing via the Shapley Value. CoRR (2022)
Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alex M. Bronstein
Fast Nonlinear Vector Quantile Regression. CoRR (2022)
Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola
Semantic uncertainty intervals for disentangled latent spaces. CoRR (2022)
Anastasios N. Angelopoulos, Amit P. S. Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. CoRR (2022)
Nitai Fingerhut, Matteo Sesia, Yaniv Romano
Coordinated Double Machine Learning. CoRR (2022)
Anastasios N. Angelopoulos, Amit Pal Singh Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. ICML (2022)
Shalev Shaer, Yaniv Romano
Learning to Increase the Power of Conditional Randomization Tests. CoRR (2022)
Matteo Sesia, Yaniv Romano
Conformal Prediction using Conditional Histograms. NeurIPS (2021)
Shai Feldman, Stephen Bates, Yaniv Romano
Improving Conditional Coverage via Orthogonal Quantile Regression. NeurIPS (2021)
Shai Feldman, Stephen Bates, Yaniv Romano
Calibrated Multiple-Output Quantile Regression with Representation Learning. CoRR (2021)
Shai Feldman, Stephen Bates, Yaniv Romano
Improving Conditional Coverage via Orthogonal Quantile Regression. CoRR (2021)
Meyer Scetbon, Laurent Meunier, Yaniv Romano
-based Kernel Conditional Independence Test. CoRR (2021)
Yaniv Romano, Stephen Bates, Emmanuel J. Candès
Achieving Equalized Odds by Resampling Sensitive Attributes. NeurIPS (2020)
Yaniv Romano, Aviad Aberdam, Jeremias Sulam, Michael Elad
Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via Sparse-Modeled Signals. J. Math. Imaging Vis. 62 (3) (2020)
Yaniv Romano, Matteo Sesia, Emmanuel J. Candès
Classification with Valid and Adaptive Coverage. NeurIPS (2020)
Yaniv Romano, Stephen Bates, Emmanuel J. Candès
Achieving Equalized Odds by Resampling Sensitive Attributes. CoRR (2020)
Tao Hong, Yaniv Romano, Michael Elad
Acceleration of RED via vector extrapolation. J. Vis. Commun. Image Represent. 63 (2019)
Alon Brifman, Yaniv Romano, Michael Elad
Unified Single-Image and Video Super-Resolution via Denoising Algorithms. IEEE Trans. Image Process. 28 (12) (2019)
Yaniv Romano, Evan Patterson, Emmanuel J. Candès
Conformalized Quantile Regression. NeurIPS (2019)
Yaniv Romano, Rina Foygel Barber, Chiara Sabatti, Emmanuel J. Candès
With Malice Towards None: Assessing Uncertainty via Equalized Coverage. CoRR (2019)
Shahar Romem Peled, Yaniv Romano, Michael Elad
SOS Boosting for Image Deblurring Algorithms. EUSIPCO (2019)
Dror Simon, Jeremias Sulam, Yaniv Romano, Yue M. Lu, Michael Elad
MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance. IEEE Trans. Signal Process. 67 (17) (2019)
Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad
Multilayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. IEEE Trans. Signal Process. 66 (15) (2018)
Yaniv Romano, Michael Elad
Classification Stability for Sparse-Modeled Signals. CoRR (2018)
Tao Hong, Yaniv Romano, Michael Elad
Acceleration of RED via Vector Extrapolation. CoRR (2018)
Dror Simon, Jeremias Sulam, Yaniv Romano, Yue M. Lu, Michael Elad
Improving Pursuit Algorithms Using Stochastic Resonance. CoRR (2018)
Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad
Projecting on to the Multi-Layer Convolutional Sparse Coding Model. ICASSP (2018)
Yi Ren, Yaniv Romano, Michael Elad
Example-Based Image Synthesis via Randomized Patch-Matching. IEEE Trans. Image Process. 27 (1) (2018)
Vardan Papyan, Yaniv Romano, Jeremias Sulam, Michael Elad
Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks. IEEE Signal Process. Mag. 35 (4) (2018)
Yaniv Romano, Michael Elad, Peyman Milanfar
RED-UCATION: A Novel CNN Architecture Based on Denoising Nonlinearities. ICASSP (2018)
Jeremias Sulam, Yaniv Romano, Ronen Talmon
Dynamical system classification with diffusion embedding for ECG-based person identification. Signal Process. 130 (2017)
Yaniv Romano, John Isidoro, Peyman Milanfar
RAISR: Rapid and Accurate Image Super Resolution. IEEE Trans. Computational Imaging 3 (1) (2017)
Vardan Papyan, Yaniv Romano, Michael Elad, Jeremias Sulam
Convolutional Dictionary Learning via Local Processing. ICCV (2017)
Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning. CoRR (2017)
Vardan Papyan, Yaniv Romano, Jeremias Sulam, Michael Elad
Convolutional Dictionary Learning via Local Processing. CoRR (2017)
Yaniv Romano, Michael Elad, Peyman Milanfar
The Little Engine That Could: Regularization by Denoising (RED). SIAM J. Imaging Sci. 10 (4) (2017)
Dmitry Batenkov, Yaniv Romano, Michael Elad
On the Global-Local Dichotomy in Sparsity Modeling. CoRR (2017)
Vardan Papyan, Yaniv Romano, Michael Elad
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding. J. Mach. Learn. Res. 18 (2017)
Vardan Papyan, Yaniv Romano, Michael Elad
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding. CoRR (2016)
Yi Ren, Yaniv Romano, Michael Elad
Example-Based Image Synthesis via Randomized Patch-Matching. CoRR (2016)
Yaniv Romano, Michael Elad, Peyman Milanfar
The Little Engine that Could: Regularization by Denoising (RED). CoRR (2016)
Yaniv Romano, Michael Elad
Con-Patch: When a Patch Meets Its Context. IEEE Trans. Image Process. 25 (9) (2016)
Alon Brifman, Yaniv Romano, Michael Elad
Turning a denoiser into a super-resolver using plug and play priors. ICIP (2016)
Yaniv Romano, Michael Elad
Con-Patch: When a Patch Meets its Context. CoRR (2016)
Yaniv Romano, John Isidoro, Peyman Milanfar
RAISR: Rapid and Accurate Image Super Resolution. CoRR (2016)
Yaniv Romano, Michael Elad
Boosting of Image Denoising Algorithms. SIAM J. Imaging Sci. 8 (2) (2015)
Yaniv Romano, Michael Elad
SOS Boosting of Image Denoising Algorithms. CoRR (2015)
Yaniv Romano, Michael Elad
Patch-disagreement as away to improve K-SVD denoising. ICASSP (2015)
Yaniv Romano, Matan Protter, Michael Elad
Single Image Interpolation Via Adaptive Nonlocal Sparsity-Based Modeling. IEEE Trans. Image Process. 23 (7) (2014)
Yaniv Romano, Michael Elad
Improving K-SVD denoising by post-processing its method-noise. ICIP (2013)