Deep Evidential Regression

7 October 2019

Daniela Rus

Papers citing "Deep Evidential Regression"

50 / 53 papers shown

Title
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties Jiaxiang Yi Miguel A. Bessa UD PER UQCV 46 0 0 05 May 2025
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression Christopher Bülte Yusuf Sale Timo Löhr Paul Hofman Gitta Kutyniok Eyke Hüllermeier UD 65 0 0 25 Apr 2025
Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy William R. Keely Otto Lamminpää Steffen Mauceri Sean M. R. Crowell Christopher W. O'Dell Gregory R. McGarragh 52 0 0 23 Apr 2025
These Magic Moments: Differentiable Uncertainty Quantification of Radiance Field Models Parker Ewen Hao Chen Seth Isaacson Joey Wilson Katherine A. Skinner Ram Vasudevan 56 0 0 18 Mar 2025
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images Rohit Menon Nils Dengler Sicong Pan Gokul Krishna Chenchani Maren Bennewitz EDL 91 0 0 06 Mar 2025
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models Nikolaos Dionelis Jente Bosmans Nicolas Longépé 71 0 0 19 Feb 2025
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation Julia Hornauer Amir El-Ghoussani Vasileios Belagiannis UQCV 57 0 0 09 Feb 2025
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning Nils Lehmann Jakob Gawlikowski Adam J. Stewart Vytautas Jancauskas Stefan Depeweg Eric T. Nalisnick N. Gottschling 42 0 0 04 Oct 2024
Uncertainty-Guided Self-Questioning and Answering for Video-Language Alignment Jin Chen Kaijing Ma Haojian Huang Jiayu Shen Han Fang Xianghao Zang Chao Ban 79 2 0 17 Sep 2024
SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks E. V. Aretos D. G. Sotiropoulos 25 0 0 08 Sep 2024
Cross-Dataset Gaze Estimation by Evidential Inter-intra Fusion Shijing Wang Yaping Huang Jun Xie YiTian Feng Chen Zhepeng Wang 41 1 0 07 Sep 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 53 0 0 23 Jul 2024
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration Jiyao Liu Yuxin Li Yuxin Li Lihao Liu Xin Gao ... Yanzhou Su Xuanyang Zhang Junjun He Ningsheng Xu Xiahai Zhuang MedIm 28 1 0 10 Jul 2024
Uncertainty Visualization via Low-Dimensional Posterior Projections Omer Yair E. Nehme T. Michaeli UQCV 35 2 0 12 Dec 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 16 4 0 17 Aug 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression Wen Wu C. Zhang P. Woodland UQCV UD EDL 19 11 0 11 Jun 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition Zhen Zhang Mengting Hu Shiwan Zhao Minlie Huang Haotian Wang Lemao Liu Zhirui Zhang Zhe Liu Bingzhe Wu EDL 38 10 0 29 May 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 34 65 0 18 May 2023
UQ for Credit Risk Management: A deep evidence regression approach Ashish Dhiman 19 0 0 08 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 33 75 0 07 May 2023
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning Monish R. Nallapareddy Kshitij Sirohi Paulo L. J. Drews-Jr Wolfram Burgard Chih-Hong Cheng Abhinav Valada EDL 30 7 0 06 Mar 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation Mixue Xie Shuang Li Rui Zhang Chi Harold Liu UQCV 38 29 0 27 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 46 86 0 16 Feb 2023
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction? Wenbo Shao Yan Xu Jun Yu Li Chen Lv Weida Wang Hong Wang 29 9 0 11 Jan 2023
A System-Level View on Out-of-Distribution Data in Robotics Rohan Sinha Apoorva Sharma Somrita Banerjee T. Lew Rachel Luo Spencer M. Richards Yixiao Sun Edward Schmerling Marco Pavone UQCV 41 23 0 28 Dec 2022
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics S. Mohammadzadeh Peerasait Prachaseree Emma Lejeune AI4CE 34 2 0 01 Dec 2022
Evidential Conditional Neural Processes Deepshikha Pandey Qi Yu BDL EDL UQCV 12 13 0 30 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 27 10 0 21 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 26 26 0 16 Nov 2022
Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-channel Speech Enhancement Kuan-Lin Chen Daniel D. E. Wong Ke Tan Buye Xu Anurag Kumar V. Ithapu 24 1 0 16 Nov 2022
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving Liang Peng Boqi Li Wen-Hui Yu Kailiang Yang Wenbo Shao Hong Wang AAML 33 24 0 08 Nov 2022
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios Liangzu Peng Jun Li Wenbo Shao Hong Wang 34 9 0 07 Nov 2022
Materials Property Prediction with Uncertainty Quantification: A Benchmark Study Daniel Varivoda Rongzhi Dong Sadman Sadeed Omee Jianjun Hu AI4CE 28 20 0 04 Nov 2022
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability I. Laña Ignacio I. Olabarrieta Javier Del Ser 37 1 0 28 Oct 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 26 0 0 27 Jun 2022
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning Zhen Guo Zelin Wan Qisheng Zhang Xujiang Zhao F. Chen Jin-Hee Cho Qi Zhang Lance M. Kaplan Dong-Ho Jeong A. Jøsang UQCV EDL 17 10 0 12 Jun 2022
The Unreasonable Effectiveness of Deep Evidential Regression N. Meinert J. Gawlikowski Alexander Lavin UQCV EDL 177 35 0 20 May 2022
OpenTAL: Towards Open Set Temporal Action Localization Wentao Bao Qi Yu Yu Kong EDL 30 26 0 10 Mar 2022
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers Deebul Nair Nico Hochgeschwender Miguel A. Olivares-Mendez OOD 27 7 0 03 Feb 2022
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions Huan Ma Zongbo Han Changqing Zhang Huazhu Fu Qiufeng Wang Q. Hu EDL UQCV 71 42 0 11 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 41 80 0 26 Oct 2021
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation Kürsat Petek Kshitij Sirohi Daniel Buscher Wolfram Burgard UQCV 54 24 0 20 Oct 2021
Reliable Neural Networks for Regression Uncertainty Estimation Tony Tohme Kevin Vanslette K. Youcef-Toumi UQCV BDL 16 15 0 16 Sep 2021
PI3NN: Out-of-distribution-aware prediction intervals from three neural networks Si-Yuan Liu Pei Zhang Dan Lu Guannan Zhang OODD 22 10 0 05 Aug 2021
Evidential Deep Learning for Open Set Action Recognition Wentao Bao Qi Yu Yu Kong CML EDL 19 135 0 21 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 38 1,109 0 07 Jul 2021
Adaptive machine learning for protein engineering B. Hie Kevin Kaichuang Yang 21 80 0 10 Jun 2021
Multivariate Deep Evidential Regression N. Meinert Alexander Lavin BDL PER EDL UQCV 35 21 0 13 Apr 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 202 81 0 16 Feb 2021
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 24 223 0 20 Nov 2020