Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods

21 October 2019

Eyke Hüllermeier

Papers citing "Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods"

50 / 550 papers shown

Title
A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle Christian Ellis Maggie B. Wigness L. Fiondella 32 1 0 30 Dec 2022
Conformal Prediction Intervals for Remaining Useful Lifetime Estimation Alireza Javanmardi Eyke Hüllermeier 16 6 0 30 Dec 2022
Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks Huong Ha Zongwen Fan Hongyu Zhang BDL 11 0 0 27 Dec 2022
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning Wenxuan Ma Xing Yan Kun Zhang UQCV 23 0 0 24 Dec 2022
Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls Stephan Thaler Gregor Doehner Julija Zavadlav 35 21 0 15 Dec 2022
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model Maohao Shen Yuheng Bu P. Sattigeri S. Ghosh Subhro Das G. Wornell UQCV OOD BDL 13 31 0 14 Dec 2022
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts Zhitong Gao Yucong Chen Chuyu Zhang Xuming He UQCV 19 5 0 14 Dec 2022
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines Michael Weiss Paolo Tonella BDL UQCV 17 11 0 14 Dec 2022
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 26 2 0 12 Dec 2022
Uncertainty Estimation in Deep Speech Enhancement Using Complex Gaussian Mixture Models Hu Fang Timo Gerkmann UQCV 11 3 0 09 Dec 2022
State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning Ziqi Wang Tianye Shu Jialin Liu OffRL 15 1 0 06 Dec 2022
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires J. Dabrowski D. Pagendam J. Hilton Conrad Sanderson Dan MacKinlay C. Huston Andrew Bolt Petra Kuhnert PINN 30 17 0 02 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 32 63 0 30 Nov 2022
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification Xing Yan Yonghua Su Wenxuan Ma UQCV 38 1 0 26 Nov 2022
Estimating Regression Predictive Distributions with Sample Networks Ali Harakeh Jordan S. K. Hu Naiqing Guan Steven L. Waslander Liam Paull BDL UQCV 22 4 0 24 Nov 2022
Exploring through Random Curiosity with General Value Functions Aditya A. Ramesh Louis Kirsch Sjoerd van Steenkiste Jürgen Schmidhuber 27 9 0 18 Nov 2022
Introduction and Exemplars of Uncertainty Decomposition Shuo Chen UD UQCV PER 30 0 0 17 Nov 2022
General Intelligence Requires Rethinking Exploration Minqi Jiang Tim Rocktaschel Edward Grefenstette LRM 29 17 0 15 Nov 2022
What Images are More Memorable to Machines? Junlin Han Huangying Zhan Jie Hong Pengfei Fang Hongdong Li L. Petersson Ian Reid 30 3 0 14 Nov 2022
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition Jean-Rémy Conti Stéphan Clémençon UQCV 14 3 0 14 Nov 2022
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models Kumud Lakara Matias Valdenegro-Toro UQCV OOD 30 1 0 11 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty J. Bertels D. Robben Dirk Vandermeulen P. Suetens 24 19 0 08 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 26 23 0 08 Nov 2022
Uncertainty-aware predictive modeling for fair data-driven decisions Patrick Kaiser Christoph Kern David Rügamer FaML 16 5 0 04 Nov 2022
A view on model misspecification in uncertainty quantification Yuko Kato David Tax Marco Loog 28 3 0 30 Oct 2022
Context-empowered Visual Attention Prediction in Pedestrian Scenarios Igor Vozniak Philipp Mueller Lorena Hell Nils Lipp Ahmed Abouelazm Christian Mueller 15 2 0 30 Oct 2022
Uncertainty-DTW for Time Series and Sequences Lei Wang Piotr Koniusz 11 33 0 30 Oct 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
Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate G. Georgalis Kolos Retfalvi P. DesJardin A. Patra UQCV 11 2 0 25 Oct 2022
Mutual Information Alleviates Hallucinations in Abstractive Summarization Liam van der Poel Ryan Cotterell Clara Meister HILM 16 56 0 24 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 59 4 0 21 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 187 22 0 20 Oct 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture Jiayun Luo Boyang Albert Li Cyril Leung 53 11 0 20 Oct 2022
Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian Processes for Active Learning Zeel B Patel Nipun Batra Kevin P. Murphy UD PER UQCV 29 1 0 20 Oct 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 22 9 0 17 Oct 2022
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints Jiayu Huang Yutian Pang Yongming Liu Hao Yan BDL UQCV 26 15 0 16 Oct 2022
Meta-Uncertainty in Bayesian Model Comparison Marvin Schmitt Stefan T. Radev Paul-Christian Bürkner UD 22 10 0 13 Oct 2022
Quantifying Uncertainty with Probabilistic Machine Learning Modeling in Wireless Sensing Amit Kachroo Sai Prashanth Chinnapalli 18 0 0 12 Oct 2022
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty Thom S. Badings Licio Romao Alessandro Abate N. Jansen 24 26 0 12 Oct 2022
Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda Andrés Domínguez Hernández Richard Owen Dan Saattrup Nielsen Ryan McConville 20 7 0 05 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 29 77 0 05 Oct 2022
Bayesian Neural Networks for Geothermal Resource Assessment: Prediction with Uncertainty Stephen R. Brown W. Rodi Marco Seracini Chengxi Gu Michael Fehler J. Faulds Connor M. Smith S. Treitel 21 0 0 30 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models Marouane Il Idrissi Nicolas Bousquet Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 35 2 0 23 Sep 2022
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network T. Kanazawa Chetan Gupta UQCV 30 4 0 17 Sep 2022
A review of predictive uncertainty estimation with machine learning Hristos Tyralis Georgia Papacharalampous UD UQCV 53 43 0 17 Sep 2022
Uncertainty Quantification of Collaborative Detection for Self-Driving Sanbao Su Yiming Li Sihong He Songyang Han Chen Feng Caiwen Ding Fei Miao 47 53 0 16 Sep 2022
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures? Lisa Wimmer Yusuf Sale Paul Hofman Bern Bischl Eyke Hüllermeier PER UD 36 64 0 07 Sep 2022
Evaluating Machine Unlearning via Epistemic Uncertainty Alexander Becker Thomas Liebig UD ELM MU 25 33 0 23 Aug 2022
Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics Jun Jet Tai Jordan Terry M. Innocente J. Brusey N. Horri 19 1 0 22 Aug 2022