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Uncertainty Quantification

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Showing 1551–1600 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
Sub-aperture SAR Imaging with Uncertainty Quantification—0
Calibrated and Enhanced NRLMSIS 2.0 Model with Uncertainty Quantification—0
Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity—0
Beta-Sorted Portfolios—0
Optimal Energy Management in Autonomous Power Systems with Probabilistic Security Constraints and Adaptive Frequency Control—0
Monte Carlo is a good sampling strategy for polynomial approximation in high dimensions—0
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics—0
Multi-fidelity wavelet neural operator with application to uncertainty quantification—0
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural NetworksCode1
Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 modelCode0
Uncertainty Quantification for Traffic Forecasting: A Unified Approach—0
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems—0
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled DataCode0
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation—0
Interpretable Uncertainty Quantification in AI for HEP—0
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs—0
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control—0
Conformal Prediction Bands for Two-Dimensional Functional Time Series—0
Towards Clear Expectations for Uncertainty Estimation—0
MAPIE: an open-source library for distribution-free uncertainty quantificationCode3
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers—0
Complementing Semi-Supervised Learning with Uncertainty Quantification—0
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection—0
JAWS: Auditing Predictive Uncertainty Under Covariate ShiftCode0
Semantic uncertainty intervals for disentangled latent spacesCode0
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