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
Uncertainty Quantification for Prior-Data Fitted Networks using Martingale Posteriors Thomas Nagler David Rügamer UQCV 12 0 0 16 May 2025
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know Shireen Kudukkil Manchingal Fabio Cuzzolin 56 0 0 08 May 2025
xTrace: A Facial Expressive Behaviour Analysis Tool for Continuous Affect Recognition M. Tellamekala S. Jaiswal Thomas Smith Timur Alamev Gary McKeown Anthony Brown M. Valstar CVBM 56 0 0 08 May 2025
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties Jiaxiang Yi Miguel A. Bessa UD PER UQCV 46 0 0 05 May 2025
Random-Set Large Language Models Muhammad Mubashar Shireen Kudukkil Manchingal Fabio Cuzzolin 66 0 0 25 Apr 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 63 0 0 25 Apr 2025
Achieving Distributive Justice in Federated Learning via Uncertainty Quantification Alycia N. Carey Xintao Wu FedML 35 0 0 22 Apr 2025
Reliable Classification with Conformal Learning and Interval-Type 2 Fuzzy Sets Javier Fumanal-Idocin Javier Andreu-Perez 25 0 0 21 Apr 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification Kumar Manas Christian Schlauch Adrian Paschke Christian Wirth Nadja Klein 40 0 0 17 Apr 2025
FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation Yasser Benigmim Mohammad Fahes Tuan-Hung Vu Andrei Bursuc Raoul de Charette VLM 37 0 0 14 Apr 2025
Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning Radin Cheraghi Amir Mohammad Mahfoozi Sepehr Zolfaghari Mohammadshayan Shabani Maryam Ramezani Hamid R. Rabiee BDL UQCV CML 55 0 0 14 Apr 2025
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging Canberk Ekmekci Müjdat Çetin UQCV MedIm 38 0 0 10 Apr 2025
An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks Miro Miranda Francisco Mena A. Dengel OOD 51 0 0 09 Apr 2025
The challenge of uncertainty quantification of large language models in medicine Zahra Atf Seyed Amir Ahmad Safavi-Naini Peter Lewis Aref Mahjoubfar Nariman Naderi Thomas Savage Ali Soroush 21 0 0 07 Apr 2025
ATM-Net: Anatomy-Aware Text-Guided Multi-Modal Fusion for Fine-Grained Lumbar Spine Segmentation Sheng Lian Dengfeng Pan Jianlong Cai Guang-Yong Chen Zhun Zhong Zhiming Luo Shen Zhao Shuo Li 36 0 0 04 Apr 2025
Decentralized Collective World Model for Emergent Communication and Coordination Kentaro Nomura Tatsuya Aoki Tadahiro Taniguchi Takato Horii 72 0 0 04 Apr 2025
LightDefense: A Lightweight Uncertainty-Driven Defense against Jailbreaks via Shifted Token Distribution Zhuoran Yang Jie Peng Zhen Tan Tianlong Chen Yanyong Zhang AAML 44 0 0 02 Apr 2025
Bayesian Predictive Coding Alexander Tschantz Magnus T. Koudahl Hampus Linander Lancelot Da Costa Conor Heins Jeff Beck Christopher L. Buckley BDL 63 0 0 31 Mar 2025
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 80 0 0 30 Mar 2025
Partial Transportability for Domain Generalization Kasra Jalaldoust Alexis Bellot Elias Bareinboim OOD 77 5 0 30 Mar 2025
Robustness quantification: a new method for assessing the reliability of the predictions of a classifier Adrián Detavernier Jasper De Bock UQCV OOD 56 0 0 28 Mar 2025
Uncertainty-aware Bayesian machine learning modelling of land cover classification Samuel Bilson Anna Pustogvar UQCV 94 1 0 27 Mar 2025
Truthful Elicitation of Imprecise Forecasts Anurag Singh Siu Lun Chau Krikamol Muandet 65 0 0 20 Mar 2025
Disentangling Uncertainties by Learning Compressed Data Representation Zhiyu An Zhibo Hou Wan Du UQCV UD 71 0 0 20 Mar 2025
Uncertainty-Aware Knowledge Distillation for Compact and Efficient 6DoF Pose Estimation Nassim Ali Ousalah Anis Kacem Enjie Ghorbel Emmanuel Koumandakis Djamila Aouada 57 0 0 17 Mar 2025
Token-Level Uncertainty-Aware Objective for Language Model Post-Training Tingkai Liu Ari S. Benjamin Anthony M. Zador 47 0 0 15 Mar 2025
L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation J. Müller Robert Wright Thomas Day Lorenzo Venturini Samuel Budd Hadrien Reynaud J. Hajnal Reza Razavi B. Kainz MedIm 59 0 0 13 Mar 2025
Rethinking Prompt-based Debiasing in Large Language Models Xinyi Yang Runzhe Zhan Derek F. Wong Shu Yang Junchao Wu Lidia S. Chao ALM 68 1 0 12 Mar 2025
Exploring the usage of Probabilistic Neural Networks for Ionospheric electron density estimation Miquel Garcia-Fernandez 42 0 0 08 Mar 2025
A Frank System for Co-Evolutionary Hybrid Decision-Making Federico Mazzoni Riccardo Guidotti Alessio Malizia 38 2 0 08 Mar 2025
Your Model is Overconfident, and Other Lies We Tell Ourselves Timothee Mickus Aman Sinha Raúl Vázquez 53 0 0 03 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice Eric Heim Oren Wright David Shriver OOD FaML 63 0 0 01 Mar 2025
Generative Uncertainty in Diffusion Models Metod Jazbec Eliot Wong-Toi Guoxuan Xia Dan Zhang Eric T. Nalisnick Stephan Mandt DiffM 49 0 0 28 Feb 2025
A Survey of Uncertainty Estimation Methods on Large Language Models Zhiqiu Xia Jinxuan Xu Yuqian Zhang Hang Liu 38 1 0 28 Feb 2025
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging Ji-Hun Oh Kianoush Falahkheirkhah Rohit Bhargava 57 0 0 27 Feb 2025
When does a predictor know its own loss? Aravind Gollakota Parikshit Gopalan Aayush Karan Charlotte Peale Udi Wieder UQCV FaML 67 0 0 27 Feb 2025
All You Need for Counterfactual Explainability Is Principled and Reliable Estimate of Aleatoric and Epistemic Uncertainty Kacper Sokol Eyke Hüllermeier 53 2 0 24 Feb 2025
A calibration test for evaluating set-based epistemic uncertainty representations Mira Jürgens Thomas Mortier Eyke Hüllermeier Viktor Bengs Willem Waegeman 39 0 0 22 Feb 2025
Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems Yang Xiang Li Fan Chenke Yin Menglin Kong Chengtao Ji OffRL 42 0 0 22 Feb 2025
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks Jon Vadillo Roberto Santana J. A. Lozano Marta Z. Kwiatkowska BDL AAML 65 0 0 17 Feb 2025
Epistemic Uncertainty in Conformal Scores: A Unified Approach Luben M. C. Cabezas Vagner S. Santos Thiago Rodrigo Ramos Rafael Izbicki 50 0 0 10 Feb 2025
On the importance of structural identifiability for machine learning with partially observed dynamical systems Janis Norden Elisa Oostwal Michael Chappell Peter Tiño K. Bunte CML OOD 79 0 0 06 Feb 2025
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation George Whittle Juliusz Ziomek Jacob Rawling Michael A. Osborne 87 2 0 04 Feb 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition Arthur Hoarau Benjamin Quost Sébastien Destercke Willem Waegeman UQCV UD PER 72 0 0 30 Jan 2025
A Unified Evaluation Framework for Epistemic Predictions Shireen Kudukkil Manchingal Muhammad Mubashar Kaizheng Wang Fabio Cuzzolin UQCV 67 2 0 28 Jan 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 59 2 0 28 Jan 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks Kaizheng Wang Keivan K1 Shariatmadar Shireen Kudukkil Manchingal Fabio Cuzzolin David Moens Hans Hallez UQCV BDL 92 12 0 28 Jan 2025
HopCast: Calibration of Autoregressive Dynamics Models Muhammad Bilal Shahid Cody H. Fleming UQCV 45 0 0 27 Jan 2025
High-dimensional multimodal uncertainty estimation by manifold alignment:Application to 3D right ventricular strain computations Maxime Di Folco Gabriel Bernardino Patrick Clarysse Nicolas Duchateau 65 1 0 21 Jan 2025
Can Bayesian Neural Networks Explicitly Model Input Uncertainty? Matias Valdenegro-Toro Marco Zullich BDL PER UQCV UD 199 0 0 14 Jan 2025