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
Calibrated Uncertainty for Molecular Property Prediction using Ensembles of Message Passing Neural Networks Jonas Busk Peter Bjørn Jørgensen Arghya Bhowmik Mikkel N. Schmidt Ole Winther T. Vegge 20 49 0 13 Jul 2021
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors Tobias Riedlinger Matthias Rottmann Marius Schubert Hanno Gottschalk BDL UQCV 14 12 0 09 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 35 1,109 0 07 Jul 2021
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda Niek Tax Kees Jan de Vries Mathijs de Jong Nikoleta Dosoula Bram van den Akker Jon Smith Olivier Thuong Lucas Bernardi 6 19 0 05 Jul 2021
A Comparison of the Delta Method and the Bootstrap in Deep Learning Classification G. K. Nilsen A. Munthe-Kaas H. Skaug M. Brun 23 0 0 04 Jul 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers Stephanie Tsuei Aditya Golatkar Stefano Soatto UQCV 21 0 0 25 Jun 2021
FF-NSL: Feed-Forward Neural-Symbolic Learner Daniel Cunnington Mark Law A. Russo Jorge Lobo NAI 34 15 0 24 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Neural network interpretability for forecasting of aggregated renewable generation Y. Lu Ilgiz Murzakhanov Spyros Chatzivasileiadis 14 10 0 19 Jun 2021
Targeted Active Learning for Bayesian Decision-Making Louis Filstroff Iiris Sundin P. Mikkola A. Tiulpin Juuso Kylmäoja Samuel Kaski 19 4 0 08 Jun 2021
BayesIMP: Uncertainty Quantification for Causal Data Fusion Siu Lun Chau Jean-François Ton Javier I. González Yee Whye Teh Dino Sejdinovic CML 4 18 0 07 Jun 2021
How to Evaluate Uncertainty Estimates in Machine Learning for Regression? Laurens Sluijterman Eric Cator Tom Heskes UQCV 23 21 0 07 Jun 2021
Deep Ensembles from a Bayesian Perspective L. Hoffmann Clemens Elster UD BDL UQCV 4 35 0 27 May 2021
Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability Dominik Seuss 17 15 0 25 May 2021
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving C. Hoel Krister Wolff L. Laine UQCV EDL 23 38 0 21 May 2021
Aleatoric uncertainty for Errors-in-Variables models in deep regression J. Martin Clemens Elster UQCV UD BDL 17 8 0 19 May 2021
Accounting for Model Uncertainty in Algorithmic Discrimination Junaid Ali Adish Singla Krishna P. Gummadi FaML 17 21 0 10 May 2021
Safe Chance Constrained Reinforcement Learning for Batch Process Control M. Mowbray Panagiotis Petsagkourakis Ehecatl Antonio del Rio Chanona Dongda Zhang OffRL 29 34 0 23 Apr 2021
I Find Your Lack of Uncertainty in Computer Vision Disturbing Matias Valdenegro-Toro UQCV 22 20 0 16 Apr 2021
Bayesian Variational Federated Learning and Unlearning in Decentralized Networks J. Gong Osvaldo Simeone Joonhyuk Kang FedML MU 21 12 0 08 Apr 2021
A Comparative Analysis of Machine Learning and Grey Models Gang He Khwaja Mutahir Ahmad Wenxin Yu Xiaochuan Xu J. Kumar SyDa AI4TS 15 0 0 02 Apr 2021
Active Learning for Deep Object Detection via Probabilistic Modeling Jiwoong Choi Ismail Elezi Hyuk-Jae Lee C. Farabet J. Álvarez 17 121 0 30 Mar 2021
Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system Shailesh Garg Ankush Gogoi S. Chakraborty B. Hazra AI4CE 20 15 0 29 Mar 2021
Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives Javier Del Ser D. Casillas-Pérez L. Cornejo-Bueno Luis Prieto-Godino J. Sanz-Justo C. Casanova-Mateo S. Salcedo-Sanz AI4CE 34 42 0 26 Mar 2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving Zhiyu Huang Jingda Wu Chen Lv 19 132 0 19 Mar 2021
Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements L. Hoffmann I. Fortmeier Clemens Elster UQCV 19 28 0 01 Mar 2021
Assigning Confidence to Molecular Property Prediction AkshatKumar Nigam R. Pollice Matthew F. D. Hurley Riley J. Hickman Matteo Aldeghi Naruki Yoshikawa Seyone Chithrananda Vincent A. Voelz Alán Aspuru-Guzik AI4CE 14 46 0 23 Feb 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
How to Stay Curious while Avoiding Noisy TVs using Aleatoric Uncertainty Estimation Augustine N. Mavor-Parker K. Young Caswell Barry Lewis D. Griffin 21 17 0 08 Feb 2021
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 6 32 0 08 Feb 2021
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study B. Grimstad M. Hotvedt Anders T. Sandnes O. Kolbjørnsen Lars Imsland 19 21 0 02 Feb 2021
Learning active learning at the crossroads? evaluation and discussion L. Desreumaux V. Lemaire 14 9 0 16 Dec 2020
From Weakly Supervised Learning to Biquality Learning: an Introduction Pierre Nodet V. Lemaire A. Bondu Antoine Cornuéjols A. Ouorou 6 21 0 16 Dec 2020
Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 10 11 0 11 Dec 2020
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning Dimitrios Tanoglidis A. Ćiprijanović A. Drlica-Wagner 18 15 0 24 Nov 2020
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs Cheng Wang Carolin (Haas) Lawrence Mathias Niepert UQCV 29 10 0 24 Nov 2020
A General Framework for Distributed Inference with Uncertain Models James Z. Hare César A. Uribe Lance M. Kaplan Ali Jadbabaie FedML 8 8 0 20 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 51 1,877 0 12 Nov 2020
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data Dennis Ulmer L. Meijerink Giovanni Cina OOD 8 64 0 06 Nov 2020
Deep Conditional Transformation Models Philipp F. M. Baumann Torsten Hothorn David Rügamer 6 27 0 15 Oct 2020
Prediction intervals for Deep Neural Networks Tullio Mancini Hector F. Calvo-Pardo Jose Olmo UQCV OOD 23 4 0 08 Oct 2020
SOAR: Simultaneous Or of And Rules for Classification of Positive & Negative Classes Elena Khusainova Emily Dodwell Ritwik Mitra 14 2 0 25 Aug 2020
Active learning of deep surrogates for PDEs: Application to metasurface design R. Pestourie Youssef Mroueh Thanh V. Nguyen Payel Das Steven G. Johnson AI4CE 12 72 0 24 Aug 2020
Using Subjective Logic to Estimate Uncertainty in Multi-Armed Bandit Problems Fabio Massimo Zennaro A. Jøsang 14 4 0 17 Aug 2020
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records Yikuan Li Shishir Rao A. Hassaine R. Ramakrishnan Yajie Zhu D. Canoy G. Salimi-Khorshidi Thomas Lukasiewicz K. Rahimi BDL UQCV 11 35 0 23 Mar 2020
Bayesian Neural Networks With Maximum Mean Discrepancy Regularization Jary Pomponi Simone Scardapane A. Uncini UQCV BDL 6 18 0 02 Mar 2020
Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities David Rügamer Chris Kolb Nadja Klein 10 22 0 13 Feb 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Unifying Practical Uncertainty Representations: I. Generalized P-Boxes Sebastien Destercke D. Dubois E. Chojnacki 76 126 0 20 Aug 2008