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Deep Evidential Regression

7 October 2019

Daniela Rus

Papers citing "Deep Evidential Regression"

50 / 205 papers shown

Title
A Free Probabilistic Framework for Analyzing the Transformer-based Language Models Swagatam Das 27 0 0 19 Jun 2025
Improving Group Robustness on Spurious Correlation via Evidential Alignment Wenqian Ye Guangtao Zheng Aidong Zhang 34 0 0 12 Jun 2025
Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space Anton Razzhigaev Matvey Mikhalchuk Klim Kireev Igor Udovichenko Andrey Kuznetsov Aleksandr Petiushko 66 0 0 11 Jun 2025
Co-Evidential Fusion with Information Volume for Medical Image Segmentation Yuanpeng He Lijian Li Tianxiang Zhan Chi-Man Pun Wenpin Jiao Zhi Jin EDL 82 0 0 03 Jun 2025
Confidence-Aware Self-Distillation for Multimodal Sentiment Analysis with Incomplete Modalities Yanxi Luo Shijin Wang Zhongxing Xu Yulong Li Feilong Tang Jionglong Su 53 0 0 02 Jun 2025
Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks Lennart Bramlage Cristóbal Curio UQCV 33 0 0 01 Jun 2025
Graph Evidential Learning for Anomaly Detection Chunyu Wei Wenji Hu Xingjia Hao Yunhai Wang Yueguo Chen Bing Bai Fei Wang 36 0 0 31 May 2025
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty Sebastián Jiménez Mira Jürgens Willem Waegeman UD PER 73 0 0 29 May 2025
Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation Siddharth Ancha Sunshine Jiang Travis Manderson Laura Brandt Yilun Du Philip R. Osteen Nicholas Roy 264 0 0 28 May 2025
Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks Paul Hofman Yusuf Sale Eyke Hüllermeier UQCV 27 0 0 28 May 2025
Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer Xinyue Hu Zhibin Duan Bo Chen Mingyuan Zhou UQCV BDL 178 0 0 28 May 2025
EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media Ismail Erbas Ferhat Demirkiran Karthik Swaminathan Naigang Wang Navid Ibtehaj Nizam Stefan T. Radev Kaoutar El Maghraoui Xavier Intes Vikas Pandey MoE 50 0 0 23 May 2025
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties Jiaxiang Yi Miguel A. Bessa UD PER UQCV 111 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 130 3 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 218 0 0 23 Apr 2025
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles Dawood Wasif T. Moore Jin-Hee Cho 77 0 0 20 Mar 2025
Disentangling Uncertainties by Learning Compressed Data Representation Zhiyu An Zhibo Hou Wan Du UQCV UD 115 0 0 20 Mar 2025
These Magic Moments: Differentiable Uncertainty Quantification of Radiance Field Models Parker Ewen Hao Chen Seth Isaacson Joey Wilson Katherine A. Skinner Ram Vasudevan 122 0 0 18 Mar 2025
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training Chonghao Sima Kashyap Chitta Zhiding Yu Shiyi Lan Ping Luo Andreas Geiger Haoyang Li Jose M. Alvarez 139 7 0 14 Mar 2025
Evidential Uncertainty Probes for Graph Neural Networks Linlin Yu Kangshuo Li Pritom Kumar Saha Yifei Lou Feng Chen EDL UQCV 169 0 0 11 Mar 2025
LiDAR-enhanced 3D Gaussian Splatting Mapping Jian Shen Huai Yu Ji Wu Wen Yang Gui-Song Xia 3DGS 118 0 0 07 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 134 0 0 06 Mar 2025
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models Nikolaos Dionelis Jente Bosmans Nicolas Longépé 226 0 0 19 Feb 2025
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation Julia Hornauer Amir El-Ghoussani Vasileios Belagiannis UQCV 88 0 0 09 Feb 2025
Label Calibration in Source Free Domain Adaptation Shivangi Rai Rini Smita Thakur Kunal Jangid Vinod K. Kurmi UQCV 108 1 0 13 Jan 2025
Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification Shrihan Agarwal A. Ćiprijanović Brian D. Nord OOD 100 1 0 08 Jan 2025
Learning charges and long-range interactions from energies and forces Dongjin Kim Daniel S. King Peichen Zhong Bingqing Cheng 156 6 0 19 Dec 2024
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events Ayush Khot Xihaier Luo Ai Kagawa Shinjae Yoo EDL BDL 112 0 0 18 Dec 2024
Context-Based Echo State Networks with Prediction Confidence for Human-Robot Shared Control Negin Amirshirzad Mehmet Arda Eren Erhan Oztop 108 0 0 30 Nov 2024
Uncertainty measurement for complex event prediction in safety-critical systems Maria J. P. Peixoto Akramul Azim 53 0 0 02 Nov 2024
Uncertainty Estimation for 3D Object Detection via Evidential Learning Nikita Durasov Rafid Mahmood Jiwoong Choi Marc T. Law James Lucas Pascal Fua Jose M. Alvarez UQCV EDL 3DPC 92 2 0 31 Oct 2024
Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation Hai Siong Tan Kuancheng Wang R. Mcbeth UQCV 77 0 0 24 Oct 2024
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization Johan Hatleskog Kostas Alexis 3DPC 107 3 0 14 Oct 2024
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 118 0 0 04 Oct 2024
DecTrain: Deciding When to Train a Monocular Depth DNN Online Zih-Sing Fu Soumya Sudhakar S. Karaman Vivienne Sze 133 0 0 03 Oct 2024
Revisiting Essential and Nonessential Settings of Evidential Deep Learning Mengyuan Chen Junyu Gao Changsheng Xu EDL 118 1 0 01 Oct 2024
SEF: A Method for Computing Prediction Intervals by Shifting the Error Function in Neural Networks E. V. Aretos D. G. Sotiropoulos 59 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 99 1 0 07 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications Junyu Gao Mengyuan Chen Liangyu Xiang Changsheng Xu EDL BDL UQCV 144 6 0 07 Sep 2024
Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels Emma Svensson Hannah Rosa Friesacher S. Winiwarter Lewis H. Mervin Adam Arany Ola Engkvist 128 2 0 06 Sep 2024
Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding Kaijing Ma Haojian Huang Jin Chen Haodong Chen Pengliang Ji ... Han Fang Chao Ban Hao Sun Mulin. Chen Xuelong Li 100 7 0 29 Aug 2024
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics Chang Liu Jingtao Ding Yiwen Song Yong Li AI4CE 62 5 0 19 Aug 2024
Evidential Graph Contrastive Alignment for Source-Free Blending-Target Domain Adaptation Juepeng Zheng Yibin Wen Jinxiao Zhang Runmin Dong Haohuan Fu 111 0 0 14 Aug 2024
UAHOI: Uncertainty-aware Robust Interaction Learning for HOI Detection Mu Chen Minghan Chen Yi Yang 131 5 0 14 Aug 2024
Uncertainty-Informed Volume Visualization using Implicit Neural Representation Shanu Saklani Chitwan Goel Shrey Bansal Zhe Wang Soumya Dutta Tushar M. Athawale D. Pugmire Christopher R. Johnson 101 0 0 12 Aug 2024
Gaussian Mixture based Evidential Learning for Stereo Matching Weide Liu Xingxing Wang Lu Wang Jun Cheng Fayao Liu Xulei Yang 68 0 0 05 Aug 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 88 0 0 23 Jul 2024
Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher Jiangming Chen Li Liu Wanxia Deng Zhen Liu Yu Liu Yingmei Wei Yongxiang Liu 94 0 0 10 Jul 2024
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition Oliver Schrufer M. Milling Felix Burkhardt F. Eyben Björn Schuller 70 3 0 01 Jul 2024
DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety Masoud Ataei Vikas Dhiman 62 0 0 30 Jun 2024