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Uncertainty Quantification

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Showing 1676–1700 of 2366 papers

TitleStatusHype
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems—0
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network—0
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
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey—0
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
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
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
Uncertainty Quantification for Traffic Forecasting: A Unified Approach—0
Multi-fidelity wavelet neural operator with application to uncertainty quantification—0
Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 modelCode0
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems—0
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