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Uncertainty Quantification

Papers

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Showing 1951–2000 of 2366 papers

TitleStatusHype
Bayesian graph convolutional neural networks via tempered MCMCCode1
I Find Your Lack of Uncertainty in Computer Vision Disturbing—0
ComBiNet: Compact Convolutional Bayesian Neural Network for Image SegmentationCode1
Learning by example: fast reliability-aware seismic imaging with normalizing flowsCode1
Revisiting Bayesian Autoencoders with MCMCCode0
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT ImagesCode1
Universal Prediction Band via Semi-Definite Programming—0
High-Dimensional Uncertainty Quantification via Tensor Regression with Rank Determination and Adaptive Sampling—0
Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty QuantificationCode0
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast ImagesCode1
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
LiBRe: A Practical Bayesian Approach to Adversarial DetectionCode1
Decision Theoretic Bootstrapping—0
Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms—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
Bayesian Dynamical System Identification With Unified Sparsity Priors And Model Uncertainty—0
A Bayesian Multiscale Deep Learning Framework for Flows in Random MediaCode0
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
Deep Deterministic Uncertainty: A Simple BaselineCode1
Trumpets: Injective Flows for Inference and Inverse ProblemsCode1
COMBO: Conservative Offline Model-Based Policy OptimizationCode1
Nonintrusive Uncertainty Quantification for automotive crash problems with VPS/Pamcrash—0
Healing Products of Gaussian ProcessesCode1
DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting—0
Private Prediction SetsCode1
Estimation and Applications of Quantiles in Deep Binary ClassificationCode0
Relational Dynamic Bayesian Network Modeling for Uncertainty Quantification and Propagation in Airline Disruption Management—0
STUaNet: Understanding uncertainty in spatiotemporal collective human mobility—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
Differentiable sampling of molecular geometries with uncertainty-based adversarial attacksCode1
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
Deep neural network surrogates for non-smooth quantities of interest in shape uncertainty quantification—0
Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRICode0
Parameter inference in a computational model of hemodynamics in pulmonary hypertension—0
A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC—0
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