| 2025 | ACL | Segment-Based Attention Masking for GPTs. | Shahar Katz, Liran Ringel, Yaniv Romano, Lior Wolf |
| 2025 | ICLR | Conformalized Survival Analysis for General Right-Censored Data. | Hen Davidov, Shai Feldman, Gil Shamai, Ron Kimmel, Yaniv Romano |
| 2025 | ICML | Robust Conformal Outlier Detection under Contaminated Reference Data. | Meshi Bashari, Matteo Sesia, Yaniv Romano |
| 2025 | IJCNLP | Learning a Continue-Thinking Token for Enhanced Test-Time Scaling. | Liran Ringel, Elad Tolochinsky, Yaniv Romano |
| 2024 | ICLR | Provably Robust Conformal Prediction with Improved Efficiency. | Ge Yan, Yaniv Romano, Tsui-Wei Weng |
| 2024 | ICML | Early Time Classification with Accumulated Accuracy Gap Control. | Liran Ringel, Regev Cohen, Daniel Freedman, Michael Elad, Yaniv Romano |
| 2023 | AISTATS | Model-X Sequential Testing for Conditional Independence via Testing by Betting. | Shalev Shaer, Gal Maman, Yaniv Romano |
| 2023 | ICLR | Fast Nonlinear Vector Quantile Regression. | Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alexander M. Bronstein |
| 2023 | ICML | Conformal Prediction with Missing Values. | Margaux Zaffran, Aymeric Dieuleveut, Julie Josse, Yaniv Romano |
| 2022 | ICLR | Adversarially Robust Conformal Prediction. | Asaf Gendler, Tsui-Wei Weng, Luca Daniel, Yaniv Romano |
| 2022 | ICML | 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 |
| 2022 | ICML | Coordinated Double Machine Learning. | Nitai Fingerhut, Matteo Sesia, Yaniv Romano |
| 2022 | ICML | An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings. | Meyer Scetbon, Laurent Meunier, Yaniv Romano |
| 2018 | ICASSP | RED-UCATION: A Novel CNN Architecture Based on Denoising Nonlinearities. | Yaniv Romano, Michael Elad, Peyman Milanfar |
| 2018 | ICASSP | Projecting on to the Multi-Layer Convolutional Sparse Coding Model. | Jeremias Sulam, Vardan Papyan, Yaniv Romano, Michael Elad |
| 2017 | ICCV | Convolutional Dictionary Learning via Local Processing. | Vardan Papyan, Yaniv Romano, Michael Elad, Jeremias Sulam |
| 2016 | ICIP | Turning a denoiser into a super-resolver using plug and play priors. | Alon Brifman, Yaniv Romano, Michael Elad |
| 2015 | ICASSP | Patch-disagreement as away to improve K-SVD denoising. | Yaniv Romano, Michael Elad |
| 2013 | ICIP | Improving K-SVD denoising by post-processing its method-noise. | Yaniv Romano, Michael Elad |