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

10 February 2022

Anastasios Nikolas Angelopoulos

Papers citing "Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging"

50 / 73 papers shown

Title
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Jeffrey Wen Rizwan Ahmad Philip Schniter 29 0 0 14 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 187 0 0 04 May 2025
Uncertainty-Aware Decomposed Hybrid Networks Sina Ditzel Achref Jaziri Iuliia Pliushch Visvanathan Ramesh UQCV 67 0 0 24 Mar 2025
Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds David Vallmanya Poch Yorick Estievenart Elnura Zhalieva Sukanya Patra Mohammad Yaqub Souhaib Ben Taieb 56 0 0 11 Mar 2025
Generative Uncertainty in Diffusion Models Metod Jazbec Eliot Wong-Toi Guoxuan Xia Dan Zhang Eric T. Nalisnick Stephan Mandt DiffM 51 0 0 28 Feb 2025
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography Jacopo Teneggi J. W. Stayman Jeremias Sulam 64 1 0 28 Feb 2025
Conditional Distribution Quantization in Machine Learning Blaise Delattre Sylvain Delattre Alexandre Verine Alexandre Allauzen 53 0 0 11 Feb 2025
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach Mathieu Cocheteux Julien Moreau Franck Davoine 51 1 0 12 Jan 2025
Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age Marcos Matabuena 38 0 0 12 Jan 2025
CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty Harry Zhang Luca Carlone 3DH 104 0 0 11 Dec 2024
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization Matthew Bendel Rizwan Ahmad P. Schniter MedIm DiffM 36 1 0 01 Nov 2024
Conformal Prediction for Multimodal Regression Alexis Bose Jonathan Ethier Paul Guinand 11 0 0 25 Oct 2024
Conditional Prediction ROC Bands for Graph Classification Yujia Wu Bo Yang Elynn Chen Yuzhou Chen Zheshi Zheng UQCV 34 2 0 20 Oct 2024
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 169 3 0 09 Oct 2024
Streamlining Conformal Information Retrieval via Score Refinement Yotam Intrator Ori Kelner Regev Cohen Roman Goldenberg Ehud Rivlin Daniel Freedman 29 0 0 03 Oct 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe C. M. Verdun Hannah Laus Felix Krahmer Holger Rauhut UQCV 29 1 0 18 Jul 2024
Conformal Performance Range Prediction for Segmentation Output Quality Control Anna M. Wundram Paul Fischer Michael Muehlebach Lisa M. Koch Christian F. Baumgartner UQCV 33 5 0 18 Jul 2024
Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy Paul Fischer Hannah Willms Moritz Schneider Daniela Thorwarth Michael Muehlebach Christian F. Baumgartner 25 0 0 11 Jul 2024
Improve ROI with Causal Learning and Conformal Prediction Meng Ai Zhuo Chen Jibin Wang Jing Shang Tao Tao Zhen Li 37 0 0 01 Jul 2024
Active, anytime-valid risk controlling prediction sets Ziyu Xu Nikos Karampatziakis Paul Mineiro 31 1 0 15 Jun 2024
Fast yet Safe: Early-Exiting with Risk Control Metod Jazbec Alexander Timans Tin Hadvzi Veljković K. Sakmann Dan Zhang C. A. Naesseth Eric T. Nalisnick 40 5 0 31 May 2024
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction Jeffrey Wen Rizwan Ahmad Philip Schniter 47 2 0 28 May 2024
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators Harry Zhang Luca Carlone 3DH 69 1 0 27 May 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees E. Nehme Rotem Mulayoff T. Michaeli UQCV 50 2 0 24 May 2024
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction Jiayang Shi Junyi Zhu D. Pelt K. Batenburg Matthew B. Blaschko 45 3 0 03 May 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 40 13 0 16 Apr 2024
Conformal Off-Policy Prediction for Multi-Agent Systems Tom Kuipers Renukanandan Tumu Shuo Yang Milad Kazemi Rahul Mangharam Nicola Paoletti OffRL 40 1 0 25 Mar 2024
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction Alexander Timans C. Straehle K. Sakmann Eric T. Nalisnick 36 6 0 12 Mar 2024
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction Ziqi Ma Kamyar Azizzadenesheli A. Anandkumar 29 6 0 02 Feb 2024
Conformal Prediction Sets Improve Human Decision Making Jesse C. Cresswell Yi Sui Bhargava Kumar Noël Vouitsis 26 18 0 24 Jan 2024
How Good Are Deep Generative Models for Solving Inverse Problems? Shichong Peng Alireza Moazeni Ke Li DiffM 16 0 0 20 Dec 2023
Uncertainty Visualization via Low-Dimensional Posterior Projections Omer Yair E. Nehme T. Michaeli UQCV 40 2 0 12 Dec 2023
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification Jamil Fayyad Shadi Alijani Homayoun Najjaran OOD 47 6 0 12 Dec 2023
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms J. Brunekreef Eric Marcus Ray Sheombarsing J. Sonke Jonas Teuwen 40 5 0 20 Nov 2023
From Posterior Sampling to Meaningful Diversity in Image Restoration Noa Cohen Hila Manor Yuval Bahat T. Michaeli DiffM 38 10 0 24 Oct 2023
Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy C. T. Ye Jiashu Han Kunzan Liu Anastasios Nikolas Angelopoulos Linda G. Griffith Kristina Monakhova Sixian You 33 5 0 24 Oct 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 33 11 0 22 Oct 2023
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems Julian Tachella Marcelo Pereyra UQCV 28 7 0 18 Oct 2023
Conformal Contextual Robust Optimization Yash P. Patel Sahana Rayan Ambuj Tewari 42 17 0 16 Oct 2023
Uncertainty Quantification via Neural Posterior Principal Components E. Nehme Omer Yair T. Michaeli UQCV 35 14 0 27 Sep 2023
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification Hila Manor T. Michaeli UQCV 23 17 0 24 Sep 2023
Beta quantile regression for robust estimation of uncertainty in the presence of outliers H. Akrami Omar Zamzam Anand A. Joshi Sergul Aydore Richard M. Leahy OOD MedIm 18 0 0 14 Sep 2023
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction Paul Fischer Thomas Kustner Christian F. Baumgartner 37 8 0 04 Aug 2023
Risk Controlled Image Retrieval Kaiwen Cai Chris Xiaoxuan Lu Xingyu Zhao Xiaowei Huang 14 0 0 14 Jul 2023
Class-Conditional Conformal Prediction with Many Classes Tiffany Ding Anastasios Nikolas Angelopoulos Stephen Bates Michael I. Jordan R. Tibshirani 8 43 0 15 Jun 2023
dugMatting: Decomposed-Uncertainty-Guided Matting Jiawei Wu Changqing Zhang Zuoyong Li Huazhu Fu Xi Peng Qiufeng Wang 43 5 0 02 Jun 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification Charles Lu Yaodong Yu Sai Praneeth Karimireddy Michael I. Jordan Ramesh Raskar FedML 47 22 0 27 May 2023
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems Omer Belhasin Yaniv Romano Daniel Freedman Ehud Rivlin Michael Elad 41 23 0 17 May 2023
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction Shuo Yang George J. Pappas Rahul Mangharam Lars Lindemann 35 20 0 01 Apr 2023
Digital staining in optical microscopy using deep learning -- a review Lucas Kreiss Shaowei Jiang Xiang Li Shiqi Xu Kevin C Zhou ... Seung Ah Lee G. Zheng Kyle J. Lafata O. Friedrich R. Horstmeyer 56 14 0 14 Mar 2023