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Uncertainty Quantification

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Showing 576–600 of 2366 papers

TitleStatusHype
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data—0
Deep priors for satellite image restoration with accurate uncertainties—0
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective—0
A Novel Deep Learning Approach for Emulating Computationally Expensive Postfire Debris Flows—0
Uncertainty quantification of molecular property prediction using Bayesian neural network models—0
Bayesian Probabilistic Matrix Factorization—0
Bayesian Predictive Coding—0
A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC—0
Bayesian Physics-informed Neural Networks for System Identification of Inverter-dominated Power Systems—0
A Novel A.I Enhanced Reservoir Characterization with a Combined Mixture of Experts -- NVIDIA Modulus based Physics Informed Neural Operator Forward Model—0
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement—0
Deep Probability Segmentation: Are segmentation models probability estimators?—0
Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems—0
Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data—0
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis—0
An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty—0
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics—0
A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification—0
Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles—0
Bayesian optimized deep ensemble for uncertainty quantification of deep neural networks: a system safety case study on sodium fast reactor thermal stratification modeling—0
A Note on Uncertainty Quantification for Maximum Likelihood Parameters Estimated with Heuristic Based Optimization Algorithms—0
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI—0
Bayesian Numerical Methods for Nonlinear Partial Differential Equations—0
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification—0
DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories—0
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