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Uncertainty Quantification

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TitleStatusHype
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry—0
Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling—0
Fast Uncertainty Quantification for Deep Object Pose Estimation—0
Denoising Score-Matching for Uncertainty Quantification in Inverse ProblemsCode0
Efficient Variational Inference for Sparse Deep Learning with Theoretical GuaranteeCode0
Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking—0
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges—0
(f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics—0
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging—0
Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process—0
Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals—0
Reweighting samples under covariate shift using a Wasserstein distance criterion—0
KrigHedge: Gaussian Process Surrogates for Delta HedgingCode0
Emulator-based global sensitivity analysis for flow-like landslide run-out models—0
Physics-constrained Bayesian inference of state functions in classical density-functional theory—0
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification ProceduresCode0
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object DetectionCode0
Active Inference or Control as Inference? A Unifying View—0
A robustness measure for singular point and index estimation in discretized orientation and vector fields—0
Metrics for Benchmarking and Uncertainty Quantification: Quality, Applicability, and a Path to Best Practices for Machine Learning in Chemistry—0
BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning—0
Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription—0
Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications—0
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification—0
Mutual Information for Explainable Deep Learning of Multiscale Systems—0
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