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Uncertainty Quantification

Papers

Showing 20012025 of 2366 papers

TitleStatusHype
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification0
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression0
Covariance-Free Sparse Bayesian Learning0
Laplace Redux - Effortless Bayesian Deep Learning0
Valuation of European Options under an Uncertain Market Price of Volatility Risk0
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagationCode0
Interval Deep Learning for Uncertainty Quantification in Safety Applications0
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon StorageCode0
Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature SelectionCode0
Bayesian Deep Neural Networks for Supervised Learning of Single-View Depth0
System identification using Bayesian neural networks with nonparametric noise models0
Bayesian Numerical Methods for Nonlinear Partial Differential Equations0
Bayesian subset selection and variable importance for interpretable prediction and classification0
I Find Your Lack of Uncertainty in Computer Vision Disturbing0
Revisiting Bayesian Autoencoders with MCMCCode0
High-Dimensional Uncertainty Quantification via Tensor Regression with Rank Determination and Adaptive Sampling0
Universal Prediction Band via Semi-Definite Programming0
Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty QuantificationCode0
Likelihood-based estimation and prediction for a measles outbreak in SamoaCode0
Simultaneous Reconstruction and Uncertainty Quantification for Tomography0
Accurate and Reliable Forecasting using Stochastic Differential Equations0
Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms0
Decision Theoretic Bootstrapping0
The Influence of Dropout on Membership Inference in Differentially Private Models0
Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression0
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