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Uncertainty Quantification

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TitleStatusHype
Uncertainty Quantification with Bayesian Higher Order ReLU KANsCode0
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring—0
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction—0
Thermodynamic Bayesian Inference—0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
Stabilizing the Kumaraswamy Distribution—0
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown—0
Conformal Prediction for Dose-Response Models with Continuous TreatmentsCode0
Improved User Identification through Calibrated Monte-Carlo DropoutCode0
Positional Encoder Graph Quantile Neural Networks for Geographic DataCode2
A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization—0
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in GraphsCode0
Functional Stochastic Gradient MCMC for Bayesian Neural Networks—0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation—0
Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery—0
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review—0
AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites—0
Bayesian computation with generative diffusion models by Multilevel Monte CarloCode0
Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors—0
Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification—0
Deep Probability Segmentation: Are segmentation models probability estimators?—0
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation—0
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes—0
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics—0
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