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Uncertainty Quantification

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Showing 2251–2300 of 2366 papers

TitleStatusHype
Statistical guarantees for stochastic Metropolis-HastingsCode0
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning modelsCode0
Deep Directional Statistics: Pose Estimation with Uncertainty QuantificationCode0
Quantile deep learning models for multi-step ahead time series predictionCode0
An Analytic Solution to Covariance Propagation in Neural NetworksCode0
Variational Bayes for high-dimensional proportional hazards models with applications within gene expressionCode0
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object DetectionCode0
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine LearningCode0
Visualizing Uncertainty in Translation Tasks: An Evaluation of LLM Performance and Confidence MetricsCode0
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking ResultsCode0
Bayesian Emulation for Computer Models with Multiple Partial DiscontinuitiesCode0
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural NetworksCode0
Deep Adaptive Arbitrary Polynomial Chaos Expansion: A Mini-data-driven Semi-supervised Method for Uncertainty QuantificationCode0
Minimal Achievable Sufficient Statistic LearningCode0
WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition FrameworkCode0
Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRACode0
Minimax Confidence Intervals for the Sliced Wasserstein DistanceCode0
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problemsCode0
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion RecognitionCode0
Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant NetworksCode0
Achieving Equalized Odds by Resampling Sensitive AttributesCode0
Stein Variational Newton Neural Network EnsemblesCode0
Calibrate your listeners! Robust communication-based training for pragmatic speakersCode0
Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model LearningCode0
Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep LearningCode0
Random Pareto front surfacesCode0
Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreementCode0
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous mediaCode0
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imagingCode0
Modèles de Substitution pour les Modèles à base d'Agents : Enjeux, Méthodes et ApplicationsCode0
Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature SelectionCode0
Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural NetworksCode0
Wasserstein Generative Learning of Conditional DistributionCode0
Modeling and inference of spatio-temporal protein dynamics across brain networksCode0
Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent ProcessesCode0
Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regressionCode0
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive NetworksCode0
Uncertainty quantification for predictions of atomistic neural networksCode0
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantificationCode0
Bayesian Coreset Construction via Greedy Iterative Geodesic AscentCode0
Stochastic reconstruction of an oolitic limestone by generative adversarial networksCode0
Architectural and Inferential Inductive Biases For Exchangeable Sequence ModelingCode0
Model uncertainty quantification using feature confidence sets for outcome excursionsCode0
Moment-based parameter inference with error guarantees for stochastic reaction networksCode0
Uncertainty-Aware Null Space Networks for Data-Consistent Image ReconstructionCode0
Instant Uncertainty Calibration of NeRFs Using a Meta-CalibratorCode0
An age-structured SEIR model for COVID--19 incidence in Dublin, Ireland with framework for evaluating health intervention costCode0
UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-MakingCode0
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical BayesCode0
Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)Code0
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