Reliable training and estimation of variance networks

4 June 2019

Papers citing "Reliable training and estimation of variance networks"

30 / 30 papers shown

Title
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties Jiaxiang Yi Miguel A. Bessa UD PER UQCV 51 0 0 05 May 2025
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 58 3 0 05 Jun 2024
Robust Estimation of Causal Heteroscedastic Noise Models Quang-Duy Tran Bao Duong Phuoc Nguyen Thin Nguyen 29 1 0 15 Dec 2023
Variational Autoencoding of Dental Point Clouds J. Z. Ye Thomas Orkild P. Søndergaard Søren Hauberg 3DPC 28 0 0 20 Jul 2023
Integrating Uncertainty into Neural Network-based Speech Enhancement Hu Fang Dennis Becker S. Wermter Timo Gerkmann UQCV 34 2 0 15 May 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series Patrick Ebel Vivien Sainte Fare Garnot M. Schmitt Jan Dirk Wegner Xiao Xiang Zhu 31 32 0 11 Apr 2023
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning Wenxuan Ma Xing Yan Kun Zhang UQCV 33 0 0 24 Dec 2022
Faithful Heteroscedastic Regression with Neural Networks Andrew Stirn H. Wessels Megan D. Schertzer L. Pereira Neville E. Sanjana David A. Knowles UQCV 30 14 0 18 Dec 2022
Estimating Regression Predictive Distributions with Sample Networks Ali Harakeh Jordan S. K. Hu Naiqing Guan Steven L. Waslander Liam Paull BDL UQCV 30 4 0 24 Nov 2022
Do Bayesian Neural Networks Need To Be Fully Stochastic? Mrinank Sharma Sebastian Farquhar Eric T. Nalisnick Tom Rainforth BDL 23 52 0 11 Nov 2022
A view on model misspecification in uncertainty quantification Yuko Kato David Tax Marco Loog 30 3 0 30 Oct 2022
Structured Uncertainty in the Observation Space of Variational Autoencoders James A. G. Langley M. Monteiro Charles Jones Nick Pawlowski Ben Glocker CML OOD BDL DRL 39 2 0 25 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 26 48 0 01 May 2022
Object Detection as Probabilistic Set Prediction Georg Hess Christoffer Petersson Lennart Svensson 19 5 0 15 Mar 2022
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks Kinjal Patel Steven Waslander UQCV 25 3 0 19 Feb 2022
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection H. Akrami Anand A. Joshi Sergul Aydore Richard M. Leahy UQCV 39 4 0 20 Sep 2021
Calibrated Uncertainty for Molecular Property Prediction using Ensembles of Message Passing Neural Networks Jonas Busk Peter Bjørn Jørgensen Arghya Bhowmik Mikkel N. Schmidt Ole Winther Tejs Vegge 36 49 0 13 Jul 2021
Energy-Based Generative Cooperative Saliency Prediction Jing Zhang Jianwen Xie Zilong Zheng Nick Barnes 36 12 0 25 Jun 2021
Pulling back information geometry Georgios Arvanitidis Miguel González Duque Alison Pouplin Dimitris Kalatzis Søren Hauberg DRL 30 14 0 09 Jun 2021
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals Yuandu Lai Yucheng Shi Yahong Han Yunfeng Shao Meiyu Qi Bingshuai Li UQCV 41 15 0 27 Apr 2021
Data-Driven Protection Levels for Camera and 3D Map-based Safe Urban Localization Shubh Gupta Grace Gao 27 5 0 16 Jan 2021
Geometrically Enriched Latent Spaces Georgios Arvanitidis Søren Hauberg Bernhard Schölkopf DRL 19 51 0 02 Aug 2020
Variational Variance: Simple, Reliable, Calibrated Heteroscedastic Noise Variance Parameterization Andrew Stirn David A. Knowles DRL 23 10 0 08 Jun 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 60 48 0 12 Feb 2020
Estimating Uncertainty Intervals from Collaborating Networks Tianhui Zhou Yitong Li Yuan Wu David Carlson UQCV 30 16 0 12 Feb 2020
Only Bayes should learn a manifold (on the estimation of differential geometric structure from data) Søren Hauberg 19 31 0 13 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,695 0 05 Dec 2016
EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph Cong Fu Deng Cai 43 109 0 23 Sep 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,640 0 03 Jul 2012