Uncertainty Quantification via Neural Posterior Principal Components

Uncertainty Quantification via Neural Posterior Principal Components

27 September 2023

Papers citing "Uncertainty Quantification via Neural Posterior Principal Components"

14 / 14 papers shown

Title
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 23 0 0 04 May 2025
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees E. Nehme Rotem Mulayoff T. Michaeli UQCV 29 2 0 24 May 2024
Uncertainty Visualization via Low-Dimensional Posterior Projections Omer Yair E. Nehme T. Michaeli UQCV 19 2 0 12 Dec 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy T. Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine L. Bouman William T. Freeman DiffM 74 85 0 23 Apr 2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration Naoki Murata Koichi Saito Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka Yuki Mitsufuji Stefano Ermon DiffM 56 48 0 30 Jan 2023
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 204 770 0 27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 203 1,330 0 24 Jan 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 325 1,570 0 10 Nov 2021
Distribution-Free, Risk-Controlling Prediction Sets Stephen Bates Anastasios Nikolas Angelopoulos Lihua Lei Jitendra Malik Michael I. Jordan OOD 173 184 0 07 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 184 256 0 07 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,191 0 21 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015