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Uncertainty Quantification

Papers

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Showing 2001–2050 of 2366 papers

TitleStatusHype
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification—0
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression—0
Covariance-Free Sparse Bayesian Learning—0
Laplace Redux - Effortless Bayesian Deep Learning—0
Valuation of European Options under an Uncertain Market Price of Volatility Risk—0
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagationCode0
Interval Deep Learning for Uncertainty Quantification in Safety Applications—0
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 Depth—0
System identification using Bayesian neural networks with nonparametric noise models—0
Bayesian Numerical Methods for Nonlinear Partial Differential Equations—0
Bayesian subset selection and variable importance for interpretable prediction and classification—0
I Find Your Lack of Uncertainty in Computer Vision Disturbing—0
Revisiting Bayesian Autoencoders with MCMCCode0
High-Dimensional Uncertainty Quantification via Tensor Regression with Rank Determination and Adaptive Sampling—0
Universal Prediction Band via Semi-Definite Programming—0
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 Tomography—0
Accurate and Reliable Forecasting using Stochastic Differential Equations—0
Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms—0
Decision Theoretic Bootstrapping—0
The Influence of Dropout on Membership Inference in Differentially Private Models—0
Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression—0
A data-driven epidemic model with social structure for understanding the COVID-19 infection on a heavily affected Italian Province—0
Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds—0
A Bayesian Multiscale Deep Learning Framework for Flows in Random MediaCode0
Bayesian Dynamical System Identification With Unified Sparsity Priors And Model Uncertainty—0
Distribution-free uncertainty quantification for classification under label shift—0
A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts—0
Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements—0
Learning Prediction Intervals for Regression: Generalization and Calibration—0
Sparse online variational Bayesian regressionCode0
Bayesian uncertainty quantification for data-driven equation learningCode0
MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning—0
Nonintrusive Uncertainty Quantification for automotive crash problems with VPS/Pamcrash—0
DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting—0
STUaNet: Understanding uncertainty in spatiotemporal collective human mobility—0
Estimation and Applications of Quantiles in Deep Binary ClassificationCode0
Relational Dynamic Bayesian Network Modeling for Uncertainty Quantification and Propagation in Airline Disruption Management—0
Uncertainty quantification and exploration-exploitation trade-off in humans—0
Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes—0
Bayesian data-driven discovery of partial differential equations with variable coefficients—0
Gaussian Experts Selection using Graphical Models—0
Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy—0
Autonomous synthesis of metastable materials—0
Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRICode0
Deep neural network surrogates for non-smooth quantities of interest in shape uncertainty quantification—0
A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC—0
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