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
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models Anthony Sicilia Hyunwoo J. Kim Khyathi Raghavi Chandu Malihe Alikhani Jack Hessel 18 1 0 05 Feb 2024
Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning Abdelhakim Benechehab Albert Thomas Balázs Kégl OffRL 32 2 0 05 Feb 2024
EuroPED-NN: Uncertainty aware surrogate model A. P. Alvarez A. Ho A. Jarvinen S. Saarelma S. Wiesen JET Contributors 13 0 0 01 Feb 2024
Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models Adarsa Sivaprasad Ehud Reiter 21 0 0 31 Jan 2024
Roq: Robust Query Optimization Based on a Risk-aware Learned Cost Model Amin Kamali Verena Kantere C. Zuzarte Vincent Corvinelli 30 0 0 26 Jan 2024
Reliability and Interpretability in Science and Deep Learning Luigi Scorzato 36 3 0 14 Jan 2024
Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation Mauricio Rivera Jean-François Godbout Reihaneh Rabbany Kellin Pelrine HILM 21 9 0 13 Jan 2024
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy Lu Wang Mayukh Das Fangkai Yang Chao Duo Bo Qiao ... Chetan Bansal Qingwei Lin Saravan Rajmohan Dongmei Zhang Qi Zhang 113 0 0 13 Jan 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks Puja Trivedi Mark Heimann Rushil Anirudh Danai Koutra Jayaraman J. Thiagarajan UQCV 29 4 0 07 Jan 2024
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook Mingyu Liu Ekim Yurtsever Jonathan Fossaert Xingcheng Zhou Walter Zimmer Yuning Cui B. L. Žagar Alois C. Knoll 56 36 0 02 Jan 2024
Second-Order Uncertainty Quantification: Variance-Based Measures Yusuf Sale Paul Hofman Lisa Wimmer Eyke Hüllermeier Thomas Nagler PER UQCV UD 29 8 0 30 Dec 2023
Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification Simon W. McKnight Aidan O. T. Hogg Vincent W. Neo Patrick A. Naylor 11 1 0 28 Dec 2023
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models Gianni Franchi Olivier Laurent Maxence Leguéry Andrei Bursuc Andrea Pilzer Angela Yao UQCV BDL 15 4 0 23 Dec 2023
Kernel Heterogeneity Improves Sparseness of Natural Images Representations Hugo J. Ladret Christian Casanova Laurent Udo Perrinet 17 0 0 22 Dec 2023
Auto311: A Confidence-guided Automated System for Non-emergency Calls Zirong Chen Xutong Sun Yuanhe Li Meiyi Ma 23 1 0 19 Dec 2023
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes Nabeel Seedat Nicolas Huynh B. V. Breugel M. Schaar 26 25 0 19 Dec 2023
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks Nikita Kotelevskii Samuel Horváth Karthik Nandakumar Martin Takáč Maxim Panov UQCV FedML OOD 34 7 0 18 Dec 2023
Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty T. Faulwasser O. Molodchyk 33 1 0 12 Dec 2023
Consistency Models for Scalable and Fast Simulation-Based Inference Marvin Schmitt Valentin Pratz Ullrich Kothe Paul-Christian Bürkner Stefan T. Radev 29 9 0 09 Dec 2023
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models Qiang Liu Nils Thuerey DiffM AI4CE 21 9 0 08 Dec 2023
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference Philipp Reiser Javier Enrique Aguilar A. Guthke Paul-Christian Bürkner 36 2 0 08 Dec 2023
Second-Order Uncertainty Quantification: A Distance-Based Approach Yusuf Sale Viktor Bengs Michele Caprio Eyke Hüllermeier PER UQCV UD 27 18 0 02 Dec 2023
Adaptive Correspondence Scoring for Unsupervised Medical Image Registration Xiaoran Zhang J. Stendahl Lawrence H. Staib Albert J Sinusas Alex Wong James S. Duncan OOD 31 2 0 01 Dec 2023
Adaptability of Computer Vision at the Tactical Edge: Addressing Environmental Uncertainty Hayden Moore 19 0 0 01 Dec 2023
Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond Jacob R. Epifano Stephen Glass Ravichandran Ramachandran Sharad Patel A. Masino Ghulam Rasool 18 0 0 28 Nov 2023
Continual Learning: Applications and the Road Forward Eli Verwimp Rahaf Aljundi Shai Ben-David Matthias Bethge Andrea Cossu ... J. Weijer Bing Liu Vincenzo Lomonaco Tinne Tuytelaars Gido M. van de Ven CLL 43 44 0 20 Nov 2023
How False Data Affects Machine Learning Models in Electrochemistry? Krittapong Deshsorn L. Lawtrakul Pawin Iamprasertkun 19 4 0 17 Nov 2023
Model Agnostic Explainable Selective Regression via Uncertainty Estimation Andrea Pugnana Carlos Mougan Dan Saattrup Nielsen 35 0 0 15 Nov 2023
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review Ivo Pascal de Jong A. Sburlea Matias Valdenegro-Toro 24 1 0 15 Nov 2023
Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness Ahmed Emam Mohamed Farag R. Roscher 26 1 0 15 Nov 2023
Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty Katharina Hechinger Christoph Koller Xiao Xiang Zhu Goran Kauermann UQCV 33 1 0 15 Nov 2023
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling Bairu Hou Yujian Liu Kaizhi Qian Jacob Andreas Shiyu Chang Yang Zhang UD UQCV PER 26 48 0 15 Nov 2023
Total Empiricism: Learning from Data Orestis Loukas Holly Chung 27 3 0 14 Nov 2023
Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Sepp Hochreiter 23 11 0 14 Nov 2023
Uncertainty quantification and out-of-distribution detection using surjective normalizing flows Simon Dirmeier Ye Hong Yanan Xin Fernando Pérez-Cruz UQCV 28 1 0 01 Nov 2023
Model Uncertainty based Active Learning on Tabular Data using Boosted Trees Sharath M Shankaranarayana 29 0 0 30 Oct 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning Saurav Jha Dong Gong He Zhao Lina Yao CLL BDL 31 12 0 30 Oct 2023
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks Jiechen Chen Sangwoo Park Osvaldo Simeone 27 4 0 25 Oct 2023
Knowledge from Uncertainty in Evidential Deep Learning Cai Davies Marc Roig Vilamala Alun D. Preece Federico Cerutti Lance M. Kaplan Supriyo Chakraborty EDL 16 2 0 19 Oct 2023
On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction Seohyeon Cha Honggu Kang Joonhyuk Kang 20 3 0 17 Oct 2023
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning Hannah Helgesen Michael Felsberg Jan-AAke Larsson 27 0 0 16 Oct 2023
Uncertainty Quantification using Generative Approach Yunsheng Zhang UQCV BDL 11 0 0 13 Oct 2023
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors Olivier Laurent Emanuel Aldea Gianni Franchi BDL UQCV 22 5 0 12 Oct 2023
Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making Maryam Kheirandish Shengfan Zhang D. Catanzaro V. Crudu UQCV 19 0 0 09 Oct 2023
Adaptive Multi-head Contrastive Learning Lei Wang Piotr Koniusz Tom Gedeon Liang Zheng 35 4 0 09 Oct 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 41 20 0 09 Oct 2023
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference Marvin Schmitt Desi R. Ivanova Daniel Habermann Baixu Chen Jie Jiang Stefan T. Radev FedML 35 5 0 06 Oct 2023
Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations Lorenc Kapllani Long Teng Matthias Rottmann 19 1 0 05 Oct 2023
Unified Uncertainty Calibration Kamalika Chaudhuri David Lopez-Paz 24 0 0 02 Oct 2023
Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning Zhiheng Li Wenjia Geng Muheng Li Lei Chen Yansong Tang Jiwen Lu Jie Zhou 22 9 0 01 Oct 2023