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
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks C. Damke Eyke Hüllermeier BDL 37 0 0 06 Sep 2024
Exploratory Visual Analysis for Increasing Data Readiness in Artificial Intelligence Projects Mattias Tiger Daniel Jakobsson Anders Ynnerman Fredrik Heintz Daniel Jonsson 26 0 0 05 Sep 2024
Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models Gabriel Y. Arteaga Thomas B. Schon Nicolas Pielawski 32 7 0 04 Sep 2024
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM N. Zhou Ke Zou Kai Ren Mengting Luo Linchao He Hao Wu Yidi Chen Yi Zhang Hu Chen Huazhu Fu MedIm 35 3 0 02 Sep 2024
Abstaining Machine Learning -- Philosophical Considerations Daniela Schuster 23 0 0 01 Sep 2024
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays Yiran Sun Hana Baroudi Tucker Netherton Laurence Court Osama Mawlawi Ashok Veeraraghavan Guha Balakrishnan DiffM MedIm 36 3 0 27 Aug 2024
Lifelong Reinforcement Learning via Neuromodulation Sebastian Lee Samuel Liebana Garcia Claudia Clopath Will Dabney 49 0 0 15 Aug 2024
Speculations on Uncertainty and Humane Algorithms Nicholas Gray 41 0 0 13 Aug 2024
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty Yongjin Yang Haneul Yoo Hwaran Lee 65 1 0 13 Aug 2024
Generalisation of Total Uncertainty in AI: A Theoretical Study Sari Masri AI4CE 33 0 0 01 Aug 2024
Probabilistic Scoring Lists for Interpretable Machine Learning Jonas Hanselle Stefan Heid Zhigang Zeng Eyke Hüllermeier 26 0 0 31 Jul 2024
Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation Esteban Garces Arias Julian Rodemann Meimingwei Li Christian Heumann Matthias Aßenmacher 43 3 0 26 Jul 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift Gina Wong Joshua Gleason Ramalingam Chellappa Yoav Wald Anqi Liu OOD 43 0 0 25 Jul 2024
Entropy Reweighted Conformal Classification Rui Luo Nicolo Colombo 27 6 0 24 Jul 2024
An Uncertainty-aware Deep Learning Framework-based Robust Design Optimization of Metamaterial Units Zihan Wang Anindya Bhaduri Hongyi Xu Liping Wang 29 1 0 19 Jul 2024
Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models Hannah Rosa Friesacher O. Engkvist Lewis H. Mervin Yves Moreau Adam Arany 39 0 0 19 Jul 2024
Risks of uncertainty propagation in Al-augmented security pipelines Emanuele Mezzi Aurora Papotti Fabio Massacci Katja Tuma 48 0 0 14 Jul 2024
Uncertainty-preserving deep knowledge tracing with state-space models S. T. Christie Carson Cook Anna N. Rafferty 23 0 0 09 Jul 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 57 0 0 02 Jul 2024
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition Oliver Schrufer M. Milling Felix Burkhardt F. Eyben Björn Schuller 27 3 0 01 Jul 2024
Pairwise Difference Learning for Classification Mohamed Karim Belaid Maximilian Rabus Eyke Hüllermeier 31 1 0 28 Jun 2024
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation Matias Valdenegro-Toro Ivo Pascal de Jong Marco Zullich UD 27 2 0 26 Jun 2024
VeriFlow: Modeling Distributions for Neural Network Verification Faried Abu Zaid Daniel Neider Mustafa Yalçıner 86 0 0 20 Jun 2024
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling Nabeel Seedat Nicolas Huynh F. Imrie Mihaela van der Schaar 43 0 0 19 Jun 2024
GFM4MPM: Towards Geospatial Foundation Models for Mineral Prospectivity Mapping A. Daruna Vasily Zadorozhnyy Georgina Lukoczki Han-Pang Chiu 27 1 0 18 Jun 2024
Trustworthy Artificial Intelligence in the Context of Metrology Tameem Adel Sam Bilson Mark Levene Andrew Thompson 20 3 0 14 Jun 2024
Generative vs. Discriminative modeling under the lens of uncertainty quantification Elouan Argouarc'h François Desbouvries Eric Barat Eiji Kawasaki UQCV 43 1 0 13 Jun 2024
Assessment of Uncertainty Quantification in Universal Differential Equations Nina Schmid David Fernandes del Pozo Willem Waegeman Jan Hasenauer AI4CE 55 1 0 13 Jun 2024
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection Junfei Yi Jianxu Mao Tengfei Liu Mingjie Li Hanyu Gu Hui Zhang Xiaojun Chang Yaonan Wang 34 2 0 11 Jun 2024
Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector A. Gavrikov V. Cerrone A. Serafini R. Brugnera A. Garfagnini ... A. Triossi C. Tuvé C. Venettacci G. Verde L. Votano 20 0 0 09 Jun 2024
Semantically Diverse Language Generation for Uncertainty Estimation in Language Models L. Aichberger Kajetan Schweighofer Mykyta Ielanskyi Sepp Hochreiter HILM 30 10 0 06 Jun 2024
Linear Opinion Pooling for Uncertainty Quantification on Graphs C. Damke Eyke Hüllermeier 46 1 0 06 Jun 2024
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models Lucas Berry Axel Brando D. Meger 24 5 0 05 Jun 2024
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks Alan A. Lahoud Erik Schaffernicht J. A. Stork UQCV 25 0 0 05 Jun 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 55 3 0 05 Jun 2024
Decoupling of neural network calibration measures D. Wolf Prasannavenkatesh Balaji Alexander Braun Markus Ulrich UQCV 44 3 0 04 Jun 2024
Label-wise Aleatoric and Epistemic Uncertainty Quantification Yusuf Sale Paul Hofman Timo Löhr Lisa Wimmer Thomas Nagler Eyke Hüllermeier PER UD UQCV 32 7 0 04 Jun 2024
Diffusion Boosted Trees Xizewen Han Mingyuan Zhou AI4CE 36 0 0 03 Jun 2024
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning Fahimeh Fakour Ali Mosleh Ramin Ramezani UQCV UD PER 43 1 0 01 Jun 2024
Evaluating Bayesian deep learning for radio galaxy classification Devina Mohan Anna M. M. Scaife UQCV BDL 46 1 0 28 May 2024
Design Principles for Falsifiable, Replicable and Reproducible Empirical ML Research Daniel Vranjes Oliver Niggemann AI4CE 11 0 0 28 May 2024
Opinion-Guided Reinforcement Learning Kyanna Dagenais Istvan David 17 0 0 27 May 2024
Convergence Behavior of an Adversarial Weak Supervision Method Steven An Sanjoy Dasgupta 23 0 0 25 May 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification Kaizheng Wang Fabio Cuzzolin Keivan K1 Shariatmadar David Moens Hans Hallez UQCV BDL 83 0 0 23 May 2024
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior Lorenzo Perini Maja R. Rudolph Sabrina Schmedding Chen Qiu 63 1 0 22 May 2024
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos Jayroop Ramesh Nicola K. Dinsdale INTERGROWTH-21 Consortium P. Yeung Ana I. L. Namburete MedIm 31 3 0 21 May 2024
Quick and Accurate Affordance Learning Fedor Scholz Erik Ayari Johannes Bertram Martin Volker Butz 34 0 0 13 May 2024
Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing Matthew Squires Xiaohui Tao Soman Elangovan Rajendra Acharya R. Gururajan Haoran Xie Xujuan Zhou AI4MH 19 2 0 09 May 2024
Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery Jinghai He Cheng Hua Yingfei Wang Zeyu Zheng 19 0 0 07 May 2024
Conformal Risk Control for Ordinal Classification Yunpeng Xu Wenge Guo Zhi Wei 19 6 0 01 May 2024