Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey

8 September 2022

Papers citing "Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey"

10 / 10 papers shown

Title
Towards Anthropomorphic Conversational AI Part I: A Practical Framework Fei Wei Yaliang Li Bolin Ding 36 0 0 28 Feb 2025
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 51 2 0 09 Oct 2024
Uncertainty quantification for intervals Carlos García-Meixide Michael R. Kosorok Marcos Matabuena CML 34 0 0 29 Aug 2024
Valid Error Bars for Neural Weather Models using Conformal Prediction Vignesh Gopakumar Joel Oskarrson Ander Gray L. Zanisi Stanislas Pamela Daniel Giles Matt Kusner M. Deisenroth 18 0 0 20 Jun 2024
Uncertainty quantification in metric spaces Gábor Lugosi Marcos Matabuena 26 3 0 08 May 2024
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems Gilad Kutiel Regev Cohen Michael Elad Daniel Freedman UQCV 11 5 0 28 Nov 2022
Predictive Inference with Feature Conformal Prediction Jiaye Teng Chuan Wen Dinghuai Zhang Yoshua Bengio Yang Gao Yang Yuan 27 24 0 01 Oct 2022
Sample-Efficient Safety Assurances using Conformal Prediction Rachel Luo Shengjia Zhao Jonathan Kuck B. Ivanovic Silvio Savarese Edward Schmerling Marco Pavone 48 56 0 28 Sep 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
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016