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"

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Title
Neural Lithography: Close the Design-to-Manufacturing Gap in Computational Optics with a 'Real2Sim' Learned Photolithography Simulator Emily Black Guangyuan Zhao Daniel E. Ho AI4CE 13 1 0 29 Sep 2023
Uncertainty Quantification for Eosinophil Segmentation A. Bazaga Donald E. Brown Sana Syed Adam Greene 20 0 0 28 Sep 2023
Evidential uncertainty sampling for active learning A. Hoarau V. Lemaire Arnaud Martin Jean-Christophe Dubois Y. Gall UQCV EDL PER UD 26 1 0 21 Sep 2023
Ensemble Neural Networks for Remaining Useful Life (RUL) Prediction Ahbishek Srinivasan J. C. Andresen Anders Holst 11 2 0 21 Sep 2023
Adversarial Attacks Against Uncertainty Quantification Emanuele Ledda Daniele Angioni Giorgio Piras Giorgio Fumera Battista Biggio Fabio Roli AAML 32 2 0 19 Sep 2023
The kernel-balanced equation for deep neural networks Kenichi Nakazato 16 0 0 14 Sep 2023
Calibration in Machine Learning Uncertainty Quantification: beyond consistency to target adaptivity Pascal Pernot 25 9 0 12 Sep 2023
Distributionally-Informed Recommender System Evaluation Michael D. Ekstrand Ben Carterette Fernando Diaz OffRL 21 11 0 12 Sep 2023
Probabilistic Safety Regions Via Finite Families of Scalable Classifiers Alberto Carlevaro Teodoro Alamo Fabrizio Dabbene Maurizio Mongelli 29 2 0 08 Sep 2023
Deep Learning Safety Concerns in Automated Driving Perception Stephanie Abrecht Alexander Hirsch Shervin Raafatnia Matthias Woehrle 26 12 0 07 Sep 2023
Fairness in Ranking under Disparate Uncertainty Richa Rastogi Thorsten Joachims 35 3 0 04 Sep 2023
A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for Dirichlet Distributed Heterogeneous Data Hamza Reguieg Mohammed El Hanjri Mohamed El-Kamili A. Kobbane FedML 20 7 0 03 Sep 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images Tareen Dawood C. L. P. Chen B. Sidhu B. Ruijsink J. Gould ... Vishal S. Mehta C. Rinaldi Esther Puyol-Antón Reza Razavi A. King OOD 27 10 0 29 Aug 2023
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification P. Melki Lionel Bombrun Boubacar Diallo Jérôme Dias Jean-Pierre da Costa 14 7 0 29 Aug 2023
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning Amirhossein Vahidi Lisa Wimmer H. Gündüz Bernd Bischl Eyke Hüllermeier Mina Rezaei OOD UQCV 30 4 0 28 Aug 2023
Efficient Epistemic Uncertainty Estimation in Regression Ensemble Models Using Pairwise-Distance Estimators Lucas Berry D. Meger UD 22 1 0 25 Aug 2023
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers T. Zoppi Andrea Ceccarelli A. Bondavalli UQCV 27 0 0 23 Aug 2023
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction Kelvin J.L. Koa Yunshan Ma Ritchie Ng Tat-Seng Chua DiffM 16 23 0 18 Aug 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
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation Jadie Adams Shireen Elhabian UQCV 18 5 0 15 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 18 1 0 11 Aug 2023
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment Hendrik Vogt Stefan A. Buehler Mark Schutera 8 0 0 11 Aug 2023
Comparing the quality of neural network uncertainty estimates for classification problems Daniel Ries Joshua J. Michalenko T. Ganter R. Baiyasi Jason Adams UQCV BDL 27 1 0 11 Aug 2023
A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions N. Knyazev Harrie Oosterhuis OffRL 19 9 0 06 Aug 2023
On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation M. Dreissig Florian Piewak Joschka Boedecker UQCV 13 6 0 04 Aug 2023
Learning to Generate Training Datasets for Robust Semantic Segmentation Marwane Hariat Olivier Laurent Rémi Kazmierczak Shihao Zhang Andrei Bursuc Angela Yao Gianni Franchi UQCV 21 2 0 01 Aug 2023
Uncertainty in Natural Language Generation: From Theory to Applications Joris Baan Nico Daheim Evgenia Ilia Dennis Ulmer Haau-Sing Li Raquel Fernández Barbara Plank Rico Sennrich Chrysoula Zerva Wilker Aziz UQLM 29 40 0 28 Jul 2023
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems Saddek Bensalem Chih-Hong Cheng Wei Huang Xiaowei Huang Changshun Wu Xingyu Zhao AAML 24 6 0 20 Jul 2023
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models Yuheng Huang Jiayang Song Zhijie Wang Shengming Zhao Huaming Chen Felix Juefei-Xu Lei Ma 28 34 0 16 Jul 2023
FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation S. Bouabid Dino Sejdinovic D. Watson‐Parris 9 5 0 14 Jul 2023
A Novel Bayes' Theorem for Upper Probabilities Michele Caprio Yusuf Sale Eyke Hüllermeier Insup Lee 23 10 0 13 Jul 2023
Formulation Graphs for Mapping Structure-Composition of Battery Electrolytes to Device Performance Vidushi Sharma Maxwell J. Giammona Dmitry Zubarev Andy Tek Khanh Nugyuen Linda Sundberg D. Congiu Young-Hye La 19 11 0 07 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon Cesare Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 41 143 0 07 Jul 2023
Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi G. Klambauer Sepp Hochreiter UQCV 40 14 0 06 Jul 2023
When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum Neha Gupta A. Menon Harikrishna Narasimhan A. S. Rawat Surinder Kumar 22 18 0 06 Jul 2023
Understanding Uncertainty Sampling Shang Liu Xiaocheng Li UQCV 26 6 0 06 Jul 2023
Diagnosis Uncertain Models For Medical Risk Prediction A. Peysakhovich Rich Caruana Y. Aphinyanaphongs 14 0 0 29 Jun 2023
Understanding Pathologies of Deep Heteroskedastic Regression Eliot Wong-Toi Alex Boyd Vincent Fortuin Stephan Mandt UQCV 13 3 0 29 Jun 2023
Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems Stephen Guth A. Mojahed T. Sapsis AI4CE 28 2 0 27 Jun 2023
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement Christoph Jansen G. Schollmeyer Hannah Blocher Julian Rodemann Thomas Augustin 25 14 0 22 Jun 2023
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift Luca Franco Paolo Mandica Konstantinos Kallidromitis Devin Guillory Yu-Teng Li Trevor Darrell Fabio Galasso 49 9 0 19 Jun 2023
Deep Huber quantile regression networks Hristos Tyralis Georgia Papacharalampous N. Dogulu Kwok-Pan Chun UQCV 36 1 0 17 Jun 2023
Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty? Yusuf Sale Michele Caprio Eyke Hüllermeier UD 29 25 0 16 Jun 2023
Integrating Uncertainty Awareness into Conformalized Quantile Regression Raphael Rossellini Rina Foygel Barber Rebecca Willett 28 7 0 14 Jun 2023
LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds Tobias Riedlinger Marius Schubert Sarina Penquitt Jan-Marcel Kezmann Pascal Colling Karsten Kahl L. Roese-Koerner Michael Arnold Urs Zimmermann Matthias Rottmann 3DPC 27 1 0 13 Jun 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values David S. Watson Joshua O'Hara Niek Tax Richard Mudd Ido Guy TDI FAtt 26 21 0 09 Jun 2023
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks Ziyi Huang H. Lam Haofeng Zhang UQCV 20 4 0 09 Jun 2023
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping Jia-Qi Yang De-Chuan Zhan Le Gan UQCV 27 5 0 08 Jun 2023
U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging E. Heremans Nabeel Seedat B. Buyse D. Testelmans M. Schaar Marina De Vos 26 5 0 07 Jun 2023
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications Mengting Hu Zhen Zhang Shiwan Zhao Minlie Huang Bingzhe Wu BDL 31 34 0 05 Jun 2023