Conffusion: Confidence Intervals for Diffusion Models

17 November 2022

Papers citing "Conffusion: Confidence Intervals for Diffusion Models"

12 / 12 papers shown

Title
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets Kangdao Liu Hao Zeng Jianguo Huang Huiping Zhuang Chi-Man Vong Hongxin Wei 55 4 0 12 Oct 2024
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models Emmanuelle Bourigault Abdullah Hamdi Amir Jamaludin MedIm 46 2 0 30 Apr 2024
Uncertainty Visualization via Low-Dimensional Posterior Projections Omer Yair E. Nehme T. Michaeli UQCV 19 2 0 12 Dec 2023
Conformal Contextual Robust Optimization Yash P. Patel Sahana Rayan Ambuj Tewari 27 15 0 16 Oct 2023
Conformal Prediction for Deep Classifier via Label Ranking Jianguo Huang Huajun Xi Linjun Zhang Huaxiu Yao Yue Qiu Hongxin Wei 28 21 0 10 Oct 2023
Predictive Inference with Feature Conformal Prediction Jiaye Teng Chuan Wen Dinghuai Zhang Yoshua Bengio Yang Gao Yang Yuan 27 24 0 01 Oct 2022
Conformal Prediction is Robust to Dispersive Label Noise Shai Feldman Bat-Sheva Einbinder Stephen Bates Anastasios Nikolas Angelopoulos Asaf Gendler Yaniv Romano 66 6 0 28 Sep 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 176 184 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
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016