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Uncertainty Quantification

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Showing 601–650 of 2366 papers

TitleStatusHype
Bayesian Continual Learning via Spiking Neural NetworksCode0
Forecasting Local Ionospheric Parameters Using TransformersCode0
An age-structured SEIR model for COVID--19 incidence in Dublin, Ireland with framework for evaluating health intervention costCode0
Bayesian Concept Bottleneck Models with LLM PriorsCode0
Full-field surrogate modeling of cardiac function encoding geometric variabilityCode0
Full-waveform earthquake source inversion using simulation-based inferenceCode0
Bayesian computation with generative diffusion models by Multilevel Monte CarloCode0
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural NetworksCode0
Expectation consistency for calibration of neural networksCode0
Estimation and Applications of Quantiles in Deep Binary ClassificationCode0
An Analytic Solution to Covariance Propagation in Neural NetworksCode0
Generalised Linear Models for Dependent Binary Outcomes with Applications to Household Stratified Pandemic Influenza DataCode0
Counterfactual Plans under Distributional AmbiguityCode0
Estimation of spatio-temporal extremes via generative neural networksCode0
A Multi-level procedure for enhancing accuracy of machine learning algorithmsCode0
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy SegmentationCode0
Evaluating Bayesian Deep Learning Methods for Semantic SegmentationCode0
Coresets for Scalable Bayesian Logistic RegressionCode0
AMPL: A Data-Driven Modeling Pipeline for Drug DiscoveryCode0
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage GuaranteesCode0
Equivariant Neural Simulators for Stochastic Spatiotemporal DynamicsCode0
De-biasing "bias" measurementCode0
Estimating prevalence with precision and accuracyCode0
Decision-Focused Uncertainty QuantificationCode0
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled ApproachCode0
History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96Code0
Evaluating Uncertainty in Deep Gaussian ProcessesCode0
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreakCode0
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantificationCode0
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient KernelsCode0
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imagingCode0
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty QuantificationCode0
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human SupervisorsCode0
Bayesian Joint Additive Factor Models for Multiview LearningCode0
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous mediaCode0
Bayesian adaptive and interpretable functional regression for exposure profilesCode0
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?Code0
Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy ImagesCode0
A Bayesian - Deep Learning model for estimating Covid-19 evolution in SpainCode0
Improving Group Robustness on Spurious Correlation via Evidential AlignmentCode0
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction SetsCode0
EquiNO: A Physics-Informed Neural Operator for Multiscale SimulationsCode0
Bayesian Active Learning By Distribution DisagreementCode0
Deep Ensembles Work, But Are They Necessary?Code0
Bayesian active learning for optimization and uncertainty quantification in protein dockingCode0
Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte CarloCode0
Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian ProcessesCode0
Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantificationCode0
Constructing Confidence Intervals for Average Treatment Effects from Multiple DatasetsCode0
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