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A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
v1v2v3v4 (latest)

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

Information Fusion (Inf. Fusion), 2020
12 November 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
Mohammad Ghavamzadeh
Paul Fieguth
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
    BDLUQCV
ArXiv (abs)PDFHTML

Papers citing "A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges"

50 / 681 papers shown
World Models That Know When They Don't Know - Controllable Video Generation with Calibrated Uncertainty
World Models That Know When They Don't Know - Controllable Video Generation with Calibrated Uncertainty
Zhiting Mei
Tenny Yin
Micah Baker
Ola Shorinwa
Anirudha Majumdar
VGen
272
3
0
05 Dec 2025
Scenario-aware Uncertainty Quantification for Trajectory Prediction with Statistical Guarantees
Scenario-aware Uncertainty Quantification for Trajectory Prediction with Statistical Guarantees
Yiming Shu
Jiahui Xu
Linghuan Kong
Fangni Zhang
Guodong Yin
Chen Sun
121
0
0
05 Dec 2025
Do We Really Even Need Data? A Modern Look at Drawing Inference with Predicted Data
Do We Really Even Need Data? A Modern Look at Drawing Inference with Predicted Data
Stephen Salerno
Kentaro Hoffman
Awan Afiaz
Anna Neufeld
Tyler H. McCormick
J. Leek
136
1
0
05 Dec 2025
Conformal Correction for Efficiency May be at Odds with Entropy
Conformal Correction for Efficiency May be at Odds with Entropy
Senrong Xu
Tianyu Wang
Zenan Li
Yuan Yao
Taolue Chen
Feng Xu
Xiaoxing Ma
221
0
0
02 Dec 2025
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
Adriel Sosa Marco
John Daniel Kirwan
Alexia Toumpa
Simos Gerasimou
UQCVBDL
353
1
0
30 Nov 2025
On the Effect of Regularization on Nonparametric Mean-Variance Regression
On the Effect of Regularization on Nonparametric Mean-Variance Regression
Eliot Wong-Toi
Alex Boyd
Vincent Fortuin
Stephan Mandt
109
0
0
27 Nov 2025
I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation
I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation
Lucas Thil
Jesse Read
Rim Kaddah
Guillaume Doquet
170
1
0
26 Nov 2025
Uncertainty of Network Topology with Applications to Out-of-Distribution Detection
Uncertainty of Network Topology with Applications to Out-of-Distribution Detection
Sing-Yuan Yeh
Chun-Hao Yang
157
0
0
24 Nov 2025
MedBayes-Lite: Bayesian Uncertainty Quantification for Safe Clinical Decision Support
MedBayes-Lite: Bayesian Uncertainty Quantification for Safe Clinical Decision Support
Elias Hossain
Md Mehedi Hasan Nipu
Maleeha Sheikh
R. Rana
Subash Neupane
Niloofar Yousefi
MULM&MAMedIm
211
0
0
20 Nov 2025
MRI Super-Resolution with Deep Learning: A Comprehensive Survey
MRI Super-Resolution with Deep Learning: A Comprehensive Survey
Mohammad Khateri
Serge Vasylechko
Morteza Ghahremani
Liam Timms
Deniz Kocanaogullari
...
Davood Karimi
Alejandra Sierra
Jussi Tohka
Sila Kurugol
O. Afacan
474
3
0
20 Nov 2025
The use of vocal biomarkers in the detection of Parkinson's disease: a robust statistical performance comparison of classic machine learning models
The use of vocal biomarkers in the detection of Parkinson's disease: a robust statistical performance comparison of classic machine learning models
Kátia Pires Nascimento do Sacramento
Elliot Q C Garcia
Nicéias Silva Vilela
Vinicius P. Sacramento
Tiago A. E. Ferreira
76
0
0
20 Nov 2025
Bayesian--AI Fusion for Epidemiological Decision Making: Calibrated Risk, Honest Uncertainty, and Hyperparameter Intelligence
Bayesian--AI Fusion for Epidemiological Decision Making: Calibrated Risk, Honest Uncertainty, and Hyperparameter Intelligence
Debashis Chatterjee
120
0
0
15 Nov 2025
Bayesian Uncertainty Quantification with Anchored Ensembles for Robust EV Power Consumption Prediction
Bayesian Uncertainty Quantification with Anchored Ensembles for Robust EV Power Consumption Prediction
Ghazal Farhani
Taufiq Rahman
Kieran Humphries
122
0
0
09 Nov 2025
QiVC-Net: Quantum-Inspired Variational Convolutional Network, with Application to Biosignal Classification
QiVC-Net: Quantum-Inspired Variational Convolutional Network, with Application to Biosignal Classification
Amin Golnari
Jamileh Yousefi
Reza Moheimani
Saeid Sanei
147
0
0
07 Nov 2025
Few-Shot Multimodal Medical Imaging: A Theoretical Framework
Few-Shot Multimodal Medical Imaging: A Theoretical Framework
Md Talha Mohsin
Ismail Abdulrashid
190
0
0
03 Nov 2025
Bayesian Neural Networks vs. Mixture Density Networks: Theoretical and Empirical Insights for Uncertainty-Aware Nonlinear Modeling
Bayesian Neural Networks vs. Mixture Density Networks: Theoretical and Empirical Insights for Uncertainty-Aware Nonlinear Modeling
R. Ghosh
Ian Barnett
BDLUD
442
0
0
28 Oct 2025
K-DAREK: Distance Aware Error for Kurkova Kolmogorov Networks
K-DAREK: Distance Aware Error for Kurkova Kolmogorov Networks
Masoud Ataei
Vikas Dhiman
M. J. Khojasteh
241
0
0
24 Oct 2025
Learning to Navigate Under Imperfect Perception: Conformalised Segmentation for Safe Reinforcement Learning
Learning to Navigate Under Imperfect Perception: Conformalised Segmentation for Safe Reinforcement Learning
Daniel Bethell
Simos Gerasimou
R. Calinescu
Calum Imrie
202
0
0
21 Oct 2025
Automated C-Arm Positioning via Conformal Landmark Localization
Automated C-Arm Positioning via Conformal Landmark Localization
Ahmad Arrabi
Jay Hwasung Jung
Jax Luo
Nathan Franssen
Scott Raymond
S. Wshah
MedIm
152
0
0
17 Oct 2025
UAMDP: Uncertainty-Aware Markov Decision Process for Risk-Constrained Reinforcement Learning from Probabilistic Forecasts
UAMDP: Uncertainty-Aware Markov Decision Process for Risk-Constrained Reinforcement Learning from Probabilistic Forecasts
Michal Koren
Or Peretz
Tai Dinh
Philip S. Yu
138
0
0
09 Oct 2025
Uncertainty assessment in satellite-based greenhouse gas emissions estimates using emulated atmospheric transport
Uncertainty assessment in satellite-based greenhouse gas emissions estimates using emulated atmospheric transport
Jeffrey N Clark
Elena Fillola
Nawid Keshtmand
Raúl Santos-Rodríguez
Matthew Rigby
108
0
0
07 Oct 2025
Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes
Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes
Xiangjun Mi
Frank Mueller
UQCV
277
1
0
05 Oct 2025
How Confident are Video Models? Empowering Video Models to Express their Uncertainty
How Confident are Video Models? Empowering Video Models to Express their Uncertainty
Zhiting Mei
Ola Shorinwa
Anirudha Majumdar
VGen
160
3
0
02 Oct 2025
Transformers Discover Molecular Structure Without Graph Priors
Transformers Discover Molecular Structure Without Graph Priors
Tobias Kreiman
Yutong Bai
Fadi Atieh
Elizabeth Weaver
Eric Qu
Aditi S. Krishnapriyan
AI4CE
158
7
0
02 Oct 2025
EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks
EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram TasksInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Yuan Gao
Sangwook Kim
Chris McIntosh
150
1
0
30 Sep 2025
Bayesian Transformer for Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data
Bayesian Transformer for Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data
Mabel Heffring
Lincoln Linlin Xu
95
0
0
29 Sep 2025
DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction
DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction
Yucheng Xing
Ling Huang
Jingying Ma
Ruping Hong
Jiangdong Qiu
Pei Liu
Kai He
Huazhu Fu
Mengling Feng
202
2
0
28 Sep 2025
Smoothing-Based Conformal Prediction for Balancing Efficiency and Interpretability
Smoothing-Based Conformal Prediction for Balancing Efficiency and Interpretability
Mingyi Zheng
Hongyu Jiang
Yizhou Lu
Jiaye Teng
168
0
0
26 Sep 2025
COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics
COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics
Matt Y. Cheung
Ashok Veeraraghavan
Guha Balakrishnan
149
1
0
26 Sep 2025
Localized Uncertainty Quantification in Random Forests via Proximities
Localized Uncertainty Quantification in Random Forests via Proximities
Jake S. Rhodes
Scott D. Brown
J. Riley Wilkinson
UQCV
152
0
0
26 Sep 2025
The Use of the Simplex Architecture to Enhance Safety in Deep-Learning-Powered Autonomous Systems
The Use of the Simplex Architecture to Enhance Safety in Deep-Learning-Powered Autonomous Systems
F. Nesti
Niko Salamini
Mauro Marinoni
Giorgio Maria Cicero
Gabriele Serra
Alessandro Biondi
Giorgio Buttazzo
219
0
0
25 Sep 2025
The Sensitivity of Variational Bayesian Neural Network Performance to Hyperparameters
The Sensitivity of Variational Bayesian Neural Network Performance to Hyperparameters
Scott Koermer
Natalie Klein
201
0
0
24 Sep 2025
Analyzing Uncertainty Quantification in Statistical and Deep Learning Models for Probabilistic Electricity Price Forecasting
Analyzing Uncertainty Quantification in Statistical and Deep Learning Models for Probabilistic Electricity Price Forecasting
Andreas Lebedev
Abhinav Das
Sven Pappert
Stephan Schlüter
319
0
0
23 Sep 2025
Cumulative Consensus Score: Label-Free and Model-Agnostic Evaluation of Object Detectors in Deployment
Cumulative Consensus Score: Label-Free and Model-Agnostic Evaluation of Object Detectors in Deployment
Avinaash Manoharan
Xiangyu Yin
Domenik Helm
Chih-Hong Cheng
204
0
0
16 Sep 2025
Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning
Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning
Zhizhong Zhao
Ke Chen
UQCV
327
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0
16 Sep 2025
The Art of Saying "Maybe": A Conformal Lens for Uncertainty Benchmarking in VLMs
The Art of Saying "Maybe": A Conformal Lens for Uncertainty Benchmarking in VLMs
Asif Azad
Mohammad Sadat Hossain
MD Sadik Hossain Shanto
M. Saifur Rahman
Md. Rizwan Parvez
350
0
0
16 Sep 2025
Proximity-Based Evidence Retrieval for Uncertainty-Aware Neural Networks
Proximity-Based Evidence Retrieval for Uncertainty-Aware Neural Networks
Hassan Gharoun
M. S. Khorshidi
Kasra Ranjbarigderi
Fang Chen
Amir H. Gandomi
EDL
309
0
0
11 Sep 2025
Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition
Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition
Matthew Nolan
Lina Yao
Robert Davidson
201
0
0
10 Sep 2025
Multi-modal Uncertainty Robust Tree Cover Segmentation For High-Resolution Remote Sensing Images
Multi-modal Uncertainty Robust Tree Cover Segmentation For High-Resolution Remote Sensing Images
Yuanyuan Gui
Wei Li
Y Samuel Wang
X. Xia
M. Marty
C. Ginzler
Z. Wang
189
1
0
05 Sep 2025
Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate
Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate
Charles Moslonka
Hicham Randrianarivo
Arthur Garnier
Emmanuel Malherbe
HILM
231
4
0
01 Sep 2025
Distance-informed Neural Processes
Distance-informed Neural Processes
Aishwarya Venkataramanan
Joachim Denzler
UQCVBDL
199
1
0
26 Aug 2025
Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
Jelke Wibbeke
Nico Schönfisch
Sebastian Rohjans
Andreas Rauh
183
0
0
25 Aug 2025
Interpreting the Effects of Quantization on LLMs
Interpreting the Effects of Quantization on LLMs
Manpreet Singh
Hassan Sajjad
MQMILM
463
3
0
22 Aug 2025
Uncertainty Tube Visualization of Particle Trajectories
Uncertainty Tube Visualization of Particle Trajectories
Jixian Li
Timbwaoga Aime Judicael Ouermi
Mengjiao Han
C. R. Johnson
133
0
0
19 Aug 2025
Calibrated and uncertain? Evaluating uncertainty estimates in binary classification models
Calibrated and uncertain? Evaluating uncertainty estimates in binary classification models
Aurora Grefsrud
Nello Blaser
Trygve Buanes
UQCV
243
0
0
15 Aug 2025
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks
Laura Lützow
Michael Eichelbeck
Mykel J. Kochenderfer
Matthias Althoff
UQCV
250
0
0
14 Aug 2025
Predictive Uncertainty for Runtime Assurance of a Real-Time Computer Vision-Based Landing System
Predictive Uncertainty for Runtime Assurance of a Real-Time Computer Vision-Based Landing System
Romeo Valentin
Sydney M. Katz
Artur B. Carneiro
Don Walker
Mykel J. Kochenderfer
EDLUQCV
241
1
0
13 Aug 2025
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
Tianyi Zhou
Johanne Medina
Sanjay Chawla
HILM
285
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ProteoKnight: Convolution-based phage virion protein classification and uncertainty analysis
ProteoKnight: Convolution-based phage virion protein classification and uncertainty analysis
Samiha Afaf Neha
Abir Ahammed Bhuiyan
Md. Ishrak Khan
116
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Benchmarking Uncertainty and its Disentanglement in multi-label Chest X-Ray Classification
Benchmarking Uncertainty and its Disentanglement in multi-label Chest X-Ray Classification
Simon Baur
Wojciech Samek
Jackie Ma
UQCV
317
1
0
06 Aug 2025
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