SOTAVerified

Uncertainty Quantification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2201–2250 of 2366 papers

TitleStatusHype
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon—0
Epistemic Uncertainty Quantification in Deep Learning Classification by the Delta MethodCode0
AGEM: Solving Linear Inverse Problems via Deep Priors and SamplingCode0
Generalised Linear Models for Dependent Binary Outcomes with Applications to Household Stratified Pandemic Influenza DataCode0
Measuring Uncertainty through Bayesian Learning of Deep Neural Network StructureCode0
Replication-based emulation of the response distribution of stochastic simulators using generalized lambda distributions—0
Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty—0
Uncertainty Quantification in Ensembles of Honest Regression Trees using Generalized Fiducial Inference—0
Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions—0
AMPL: A Data-Driven Modeling Pipeline for Drug DiscoveryCode0
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature ModelingCode0
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO—0
Predicting Weather Uncertainty with Deep Convnets—0
Multivariate Uncertainty in Deep Learning—0
Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning—0
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs—0
Active Subspace of Neural Networks: Structural Analysis and Universal AttacksCode0
Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei—0
We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric UncertaintyCode0
Uncertainty Quantification with Generative ModelsCode0
Multiphase flow prediction with deep neural networks—0
Batch simulations and uncertainty quantification in Gaussian process surrogate-based approximate Bayesian computation—0
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation—0
Uncertainty Quantification and Exploration for Reinforcement Learning—0
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction—0
Prior Guided Dropout for Robust Visual Localization in Dynamic EnvironmentsCode0
Debiased Bayesian inference for average treatment effectsCode0
The Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions—0
AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING—0
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control—0
A Multi-level procedure for enhancing accuracy of machine learning algorithmsCode0
Bayesian data assimilation to support informed decision-making in individualised chemotherapy—0
Uncertainty Quantification in Stochastic Economic Dispatch using Gaussian Process Emulation—0
Minimax Confidence Intervals for the Sliced Wasserstein DistanceCode0
Learned imaging with constraints and uncertainty quantification—0
Evaluating and Boosting Uncertainty Quantification in Classification—0
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis—0
Marginally-calibrated deep distributional regression—0
Ensemble Neural Networks (ENN): A gradient-free stochastic method—0
Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous CasesCode0
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement—0
A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty—0
Deep convolutional neural networks for uncertainty propagation in random fields—0
Supervised Uncertainty Quantification for Segmentation with Multiple AnnotationsCode0
Parameter Estimation and Uncertainty Quantification for Systems Biology Models—0
Simultaneous Prediction Intervals for Patient-Specific Survival CurvesCode0
Quality of Uncertainty Quantification for Bayesian Neural Network Inference—0
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive NetworksCode0
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical BayesCode0
Inference and Uncertainty Quantification for Noisy Matrix Completion—0
Show:102550
← PrevPage 45 of 48Next →

No leaderboard results yet.