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Uncertainty Quantification

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Showing 1851–1900 of 2366 papers

TitleStatusHype
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation—0
DROMO: Distributionally Robust Offline Model-based Policy Optimization—0
A framework for benchmarking uncertainty in deep regression—0
AdjointNet: Constraining machine learning models with physics-based codes—0
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors—0
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations—0
Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images—0
Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural NetworksCode0
Uncertainty quantification for multiclass data description—0
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ballCode0
Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment—0
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image ClassificationCode0
Teaching Uncertainty Quantification in Machine Learning through Use Cases—0
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra—0
Uncertainty quantification for industrial design using dictionaries of reduced order models—0
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach—0
PI3NN: Out-of-distribution-aware prediction intervals from three neural networksCode1
A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities—0
Statistical Analysis of Wasserstein Distributionally Robust Estimators—0
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing FlowsCode1
Accelerating Markov Random Field Inference with Uncertainty Quantification—0
Nonparametric posterior learning for emission tomography with multimodal data—0
Quantifying Uncertainty for Machine Learning Based Diagnostic—0
Lyapunov-based uncertainty-aware safe reinforcement learning—0
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning—0
Sparse Bayesian Deep Learning for Dynamic System IdentificationCode0
Subset selection for linear mixed models—0
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products—0
Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantificationCode0
Deep Adaptive Arbitrary Polynomial Chaos Expansion: A Mini-data-driven Semi-supervised Method for Uncertainty QuantificationCode0
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference—0
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate modelsCode1
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions—0
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability—0
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing—0
Model Uncertainty and Correctability for Directed Graphical Models—0
Tracing Halpha Fibrils through Bayesian Deep Learning—0
Uncertainty Prediction for Machine Learning Models of Material Properties—0
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age ModelingCode0
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale TasksCode1
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty QuantificationCode1
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous DrivingCode0
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks—0
Gaussian Process Subspace Regression for Model ReductionCode0
L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation—0
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object DetectorsCode0
Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA-Compliant Systematic Review—0
MD-split+: Practical Local Conformal Inference in High Dimensions—0
Evaluating subgroup disparity using epistemic uncertainty in mammography—0
Deep Gaussian Process Emulation using Stochastic ImputationCode1
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