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Uncertainty Quantification

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Showing 1551–1575 of 2366 papers

TitleStatusHype
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning modelsCode0
Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles—0
Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization—0
Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography—0
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation—0
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields—0
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems—0
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network—0
Uncertainty Quantification of Collaborative Detection for Self-DrivingCode1
Towards Improving Calibration in Object Detection Under Domain Shift—0
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace ApplicationsCode0
Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time series dataCode0
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification—0
Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty QuantificationCode1
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey—0
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?Code1
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution—0
Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy ImagesCode0
Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular SimulationCode0
Bayesian Continual Learning via Spiking Neural NetworksCode0
Likelihood-Free Parameter Estimation with Neural Bayes EstimatorsCode1
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives—0
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies—0
CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep LearningCode0
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operatorsCode2
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