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Uncertainty Quantification

Papers

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Showing 1851–1900 of 2366 papers

TitleStatusHype
Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty QuantificationCode0
Extrapolation-Aware Nonparametric Statistical InferenceCode0
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD DetectionCode0
Uncertainty Quantification of the Virial Black Hole Mass with Conformal PredictionCode0
Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time series dataCode0
Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic BeliefsCode0
Fast Instrument Learning with Faster RatesCode0
CVAE-SM: A Conditional Variational Autoencoder with Style Modulation for Efficient Uncertainty QuantificationCode0
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot SettingsCode0
Expectation consistency for calibration of neural networksCode0
Taming False Positives in Out-of-Distribution Detection with Human FeedbackCode0
Achieving Distributive Justice in Federated Learning via Uncertainty QuantificationCode0
Noise-Adaptive Conformal Classification with Marginal CoverageCode0
Accuracy-Preserving Calibration via Statistical Modeling on Probability SimplexCode0
Non-Asymptotic Uncertainty Quantification in High-Dimensional LearningCode0
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural NetworksCode0
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal PredictionCode0
Uncertainty Estimation and Propagation in Accelerated MRI ReconstructionCode0
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regimeCode0
Bayesian adaptive and interpretable functional regression for exposure profilesCode0
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty QuantificationCode0
BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantificationCode0
A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill RecognitionCode0
Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-ValuesCode0
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm EventsCode0
Rule-based Bayesian regressionCode0
Rule-based Evolutionary Bayesian LearningCode0
E-Values Expand the Scope of Conformal PredictionCode0
Uncertainty quantification in automated valuation models with spatially weighted conformal predictionCode0
Evaluating Uncertainty in Deep Gaussian ProcessesCode0
FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration DetectionCode0
Fixing Overconfidence in Dynamic Neural NetworksCode0
Flat Posterior Does Matter For Bayesian Model AveragingCode0
Flexible Amortized Variational Inference in qBOLD MRICode0
Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional dataCode0
Flexible Heteroscedastic Count Regression with Deep Double Poisson NetworksCode0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
Forecasting Local Ionospheric Parameters Using TransformersCode0
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior NetworksCode0
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled DataCode0
NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element AnalysisCode0
Evaluating Bayesian Deep Learning Methods for Semantic SegmentationCode0
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMsCode0
NRSeg: Noise-Resilient Learning for BEV Semantic Segmentation via Driving World ModelsCode0
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence FunctionsCode0
Testing Hypotheses of Covariate Effects on Topics of DiscourseCode0
Cryo-forum: A framework for orientation recovery with uncertainty measure with the application in cryo-EM image analysisCode0
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon StorageCode0
Estimation of spatio-temporal extremes via generative neural networksCode0
Counterfactual Plans under Distributional AmbiguityCode0
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