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
Uncertainty-boosted Robust Video Activity Anticipation Zhaobo Qi Shuhui Wang Weigang Zhang Qingming Huang 36 5 0 29 Apr 2024
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification Ruben Grewal Paolo Tonella Andrea Stocco 48 12 0 29 Apr 2024
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training L. Meegahapola Hamza Hassoune D. Gática-Pérez 37 9 0 26 Apr 2024
A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operations Jokin Alcibar J. Aizpurua E. Zugasti Oier Penagarikano 19 1 0 24 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Mohit Bansal AI4CE 34 1 0 23 Apr 2024
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules Paul Hofman Yusuf Sale Eyke Hüllermeier UQCV UD PER 43 5 0 18 Apr 2024
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation Florian Heidecker A. El-khateeb Maarten Bieshaar Bernhard Sick 28 0 0 17 Apr 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 40 12 0 16 Apr 2024
Impact of Preference Noise on the Alignment Performance of Generative Language Models Yang Gao Dana Alon Donald Metzler 32 16 0 15 Apr 2024
Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learning Zongren Zou Tingwei Meng Paula Chen Jérome Darbon George Karniadakis 52 7 0 12 Apr 2024
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data Nils Lehmann N. Gottschling Stefan Depeweg Eric T. Nalisnick 34 1 0 12 Apr 2024
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality Khadija Zanna Akane Sano FaML 41 1 0 12 Apr 2024
Rho-1: Not All Tokens Are What You Need Zheng-Wen Lin Zhibin Gou Yeyun Gong Xiao Liu Yelong Shen ... Chen Lin Yujiu Yang Jian Jiao Nan Duan Weizhu Chen CLL 50 55 0 11 Apr 2024
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation M. Dreissig Florian Piewak Joschka Boedecker 32 1 0 09 Apr 2024
On the Importance of Uncertainty in Decision-Making with Large Language Models Nicolò Felicioni Lucas Maystre Sina Ghiassian K. Ciosek LLMAG 29 2 0 03 Apr 2024
Machine Unlearning for Traditional Models and Large Language Models: A Short Survey Yi Xu AILaw MU 37 3 0 01 Apr 2024
LUQ: Long-text Uncertainty Quantification for LLMs Caiqi Zhang Fangyu Liu Marco Basaldella Nigel Collier HILM 52 24 0 29 Mar 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 50 5 0 25 Mar 2024
Certified Human Trajectory Prediction Mohammadhossein Bahari Saeed Saadatnejad Amirhossein Asgari-Farsangi Seyed-Mohsen Moosavi-Dezfooli Alexandre Alahi AAML 40 1 0 20 Mar 2024
On Designing Consistent Covariance Recovery from a Deep Learning Visual Odometry Engine J. Nir Dennis Giaya Hanumant Singh 29 1 0 19 Mar 2024
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification Alberto Carlevaro Teodoro Alamo Fabrizio Dabbene Maurizio Mongelli 28 2 0 15 Mar 2024
Explainability through uncertainty: Trustworthy decision-making with neural networks Arthur Thuy Dries F. Benoit 43 13 0 15 Mar 2024
Thermal Earth Model for the Conterminous United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN) M. Aljubran Roland N. Horne AI4CE 42 8 0 15 Mar 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 48 8 0 11 Mar 2024
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration Julian Rodemann Federico Croppi Philipp Arens Yusuf Sale J. Herbinger B. Bischl Eyke Hüllermeier Thomas Augustin Conor J. Walsh Giuseppe Casalicchio 46 7 0 07 Mar 2024
Machine learning and information theory concepts towards an AI Mathematician Yoshua Bengio Nikolay Malkin 26 9 0 07 Mar 2024
Scalable Bayesian inference for the generalized linear mixed model S. Berchuck Felipe A. Medeiros Sayan Mukherjee Andrea Agazzi 29 0 0 05 Mar 2024
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models Xiang Gao Jiaxin Zhang Lalla Mouatadid Kamalika Das 19 8 0 04 Mar 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation Yidong Zhao João Tourais Iain Pierce Christian Nitsche T. Treibel Sebastian Weingartner Artur M. Schweidtmann Qian Tao BDL UQCV 43 5 0 04 Mar 2024
On Cyclical MCMC Sampling Liwei Wang Xinru Liu Aaron Smith Aguemon Y. Atchadé 22 1 0 01 Mar 2024
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks Graham Pash M. Hassanaly S. Yellapantula AI4CE 43 0 0 28 Feb 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Outlier-Detection for Reactive Machine Learned Potential Energy Surfaces Luis Itza Vazquez-Salazar Silvan Käser Markus Meuwly EDL 32 3 0 27 Feb 2024
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis Lorenzo Peracchio G. Nicora Enea Parimbelli T. M. Buonocore Roberto Bergamaschi Eleonora Tavazzi A. Dagliati Riccardo Bellazzi 23 0 0 27 Feb 2024
Conformalized Selective Regression Anna Sokol Nuno Moniz Nitesh V. Chawla 22 1 0 26 Feb 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? Joris Baan Raquel Fernández Barbara Plank Wilker Aziz 43 10 0 25 Feb 2024
Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles Shihong Ling Yue Wan Xiaowei Jia Na Du 36 1 0 23 Feb 2024
Generalising realisability in statistical learning theory under epistemic uncertainty Fabio Cuzzolin CML 40 0 0 22 Feb 2024
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond Zhiyuan Wang Jinhao Duan Chenxi Yuan Qingyu Chen Tianlong Chen Huaxiu Yao Yue Zhang Ren Wang Kaidi Xu Xiaoshuang Shi UQLM 28 9 0 22 Feb 2024
A Temporal Stochastic Bias Correction using a Machine Learning Attention model Omer Nivron Damon J. Wischik Mathieu Vrac Emily Shuckburgh Alex T. Archibald 17 1 0 21 Feb 2024
Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning Farhad Pourkamali-Anaraki Jamal F. Husseini Scott E. Stapleton UD 48 2 0 21 Feb 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex Yasushi Esaki Akihiro Nakamura Keisuke Kawano Ryoko Tokuhisa Takuro Kutsuna 40 0 0 21 Feb 2024
Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules Nikita Kotelevskii Maxim Panov PER UQCV UD 29 4 0 16 Feb 2024
Conformalized Credal Set Predictors Alireza Javanmardi David Stutz Eyke Hüllermeier 26 11 0 16 Feb 2024
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods? Mira Jürgens Nis Meinert Viktor Bengs Eyke Hüllermeier Willem Waegeman UQCV UD PER EDL BDL 29 11 0 14 Feb 2024
Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction Jiacheng Liu Jaideep Srivastava 14 0 0 09 Feb 2024
Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows Evan Cook Marc-Antoine Lavoie Steven L. Waslander OODD 19 2 0 09 Feb 2024
Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions A. Testoni Raquel Fernández 17 10 0 09 Feb 2024
Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation Shivang Chopra Suraj Kothawade Houda Aynaou Aman Chadha DiffM 37 1 0 07 Feb 2024
Distinguishing the Knowable from the Unknowable with Language Models Gustaf Ahdritz Tian Qin Nikhil Vyas Boaz Barak Benjamin L. Edelman 26 18 0 05 Feb 2024