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Uncertainty Quantification

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Showing 1951–2000 of 2366 papers

TitleStatusHype
Better Batch for Deep Probabilistic Time Series ForecastingCode0
Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing modelCode0
ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian SensorsCode0
Uncertainty Quantification to Enhance Probabilistic Fusion Based User Identification Using SmartphonesCode0
Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model CalibrationCode0
A Multi-level procedure for enhancing accuracy of machine learning algorithmsCode0
On Uncertainty Quantification for Near-Bayes Optimal AlgorithmsCode0
Constructing Confidence Intervals for Average Treatment Effects from Multiple DatasetsCode0
Calibration in Machine Learning Uncertainty Quantification: beyond consistency to target adaptivityCode0
A Bayesian - Deep Learning model for estimating Covid-19 evolution in SpainCode0
Optimal Conformal Prediction under Epistemic UncertaintyCode0
Global universal approximation of functional input maps on weighted spacesCode0
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreakCode0
GNN's Uncertainty Quantification using Self-DistillationCode0
We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric UncertaintyCode0
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object DetectorsCode0
Uncertainty quantification using martingales for misspecified Gaussian processesCode0
Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural NetworksCode0
Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy ImagesCode0
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
Wasserstein DropoutCode0
Outlier-Detection for Reactive Machine Learned Potential Energy SurfacesCode0
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical EvaluationCode0
A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of termsCode0
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty QuantificationCode0
Considering discrepancy when calibrating a mechanistic electrophysiology modelCode0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
Consensus-Driven Uncertainty for Robotic Grasping based on RGB PerceptionCode0
Band-gap regression with architecture-optimized message-passing neural networksCode0
PAC Prediction Sets Under Covariate ShiftCode0
Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte CarloCode0
PAC Prediction Sets Under Label ShiftCode0
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing RetrievalCode0
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKACode0
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanicsCode0
A Closed-Form Uncertainty Propagation in Non-Rigid Structure from MotionCode0
Emulating compact binary population synthesis simulations with robust uncertainty quantification and model comparison: Bayesian normalizing flowsCode0
GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form Geometric UncertaintyCode0
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language ModelsCode0
Hierarchical Light Transformer Ensembles for Multimodal Trajectory ForecastingCode0
Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation LearningCode0
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?Code0
Conformal time series decomposition with component-wise exchangeabilityCode0
Parametric Scaling Law of Tuning Bias in Conformal PredictionCode0
Uncertainty Quantification and Decomposition for LLM-based RecommendationCode0
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image ClassificationCode0
Conformal Thresholded Intervals for Efficient RegressionCode0
Partially Stochastic Infinitely Deep Bayesian Neural NetworksCode0
High-Fidelity Transfer of Functional Priors for Wide Bayesian Neural Networks by Learning ActivationsCode0
Highlighting Object Category Immunity for the Generalization of Human-Object Interaction DetectionCode0
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