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Uncertainty Quantification

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Showing 1051–1100 of 2366 papers

TitleStatusHype
Covariance-Free Sparse Bayesian Learning—0
Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement—0
Coupling the reduced-order model and the generative model for an importance sampling estimator—0
Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy from Before-and-After Treatment Repeated Measures Randomized Controlled Trials—0
Adaptive Modeling of Uncertainties for Traffic Forecasting—0
Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions—0
Lagrangian Inference for Ranking Problems—0
Latent-space Field Tension for Astrophysical Component Detection An application to X-ray imaging—0
Measurement Error and Counterfactuals in Quantitative Trade and Spatial Models—0
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection—0
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks—0
Correcting for Interference in Experiments: A Case Study at Douyin—0
Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants—0
JANET: Joint Adaptive predictioN-region Estimation for Time-series—0
Bayesian approach to model-based extrapolation of nuclear observables—0
Is MC Dropout Bayesian?—0
Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery—0
Bayesian Analysis of Interpretable Aging across Thousands of Lithium-ion Battery Cycles—0
Adaptive Elicitation of Latent Information Using Natural Language—0
Monte Carlo is a good sampling strategy for polynomial approximation in high dimensions—0
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows—0
Controlled Dropout for Uncertainty Estimation—0
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation—0
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra—0
Continuum Limit of Posteriors in Graph Bayesian Inverse Problems—0
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation—0
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification—0
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification—0
Continual learning via probabilistic exchangeable sequence modelling—0
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model—0
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems—0
Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery—0
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging—0
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging—0
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra—0
Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming—0
Constraining the Dynamics of Deep Probabilistic Models—0
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks—0
A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization—0
BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning—0
CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition—0
Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models—0
4DVarNet-SSH: end-to-end learning of variational interpolation schemes for nadir and wide-swath satellite altimetry—0
Batch simulations and uncertainty quantification in Gaussian process surrogate-based approximate Bayesian computation—0
IntraSeismic: a coordinate-based learning approach to seismic inversion—0
CONSeg: Voxelwise Glioma Conformal Segmentation—0
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation—0
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics—0
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics—0
Conformal Uncertainty Quantification of Electricity Price Predictions for Risk-Averse Storage Arbitrage—0
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