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Uncertainty Quantification

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Showing 1701–1750 of 2366 papers

TitleStatusHype
Model Uncertainty and Correctability for Directed Graphical Models—0
Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring—0
Mondrian Processes for Flow Cytometry Analysis—0
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes—0
Monte Carlo Temperature: a robust sampling strategy for LLM's uncertainty quantification methods—0
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs—0
Morse Neural Networks for Uncertainty Quantification—0
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity—0
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis—0
MultiAuto-DeepONet: A Multi-resolution Autoencoder DeepONet for Nonlinear Dimension Reduction, Uncertainty Quantification and Operator Learning of Forward and Inverse Stochastic Problems—0
Multiclass ROC—0
Multidimensional Uncertainty Quantification for Deep Neural Networks—0
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads—0
Multi-fidelity Bayesian Neural Networks: Algorithms and Applications—0
Multi-fidelity climate model parameterization for better generalization and extrapolation—0
Multifidelity Cross-validation—0
Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization—0
Multi-fidelity Monte Carlo: a pseudo-marginal approach—0
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models—0
Multi-fidelity wavelet neural operator with application to uncertainty quantification—0
Multi-group Uncertainty Quantification for Long-form Text Generation—0
Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics—0
Bayesian Deep Learning with Multilevel Trace-class Neural Networks—0
Multilevel CNNs for Parametric PDEs—0
Multilevel CNNs for Parametric PDEs based on Adaptive Finite Elements—0
Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration—0
Multi-model Ensemble Analysis with Neural Network Gaussian Processes—0
MultiOrg: A Multi-rater Organoid-detection Dataset—0
Multi-output Gaussian processes for inverse uncertainty quantification in neutron noise analysis—0
Multiphase flow prediction with deep neural networks—0
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers—0
Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models—0
Multivariate and Online Transfer Learning with Uncertainty Quantification—0
Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement—0
Multivariate Conformal Selection—0
Multivariate Uncertainty in Deep Learning—0
Multi-view polarimetric scattering cloud tomography and retrieval of droplet size—0
MURO: Deployment Constrained Reinforcement Learning with Model-based Uncertainty Regularized Batch Optimization—0
MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning—0
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations—0
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge—0
Mutual Information for Explainable Deep Learning of Multiscale Systems—0
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting—0
Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Review of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems—0
Neural Chaos: A Spectral Stochastic Neural Operator—0
Neural Conditional Probability for Uncertainty Quantification—0
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra—0
Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification—0
Neural-net-induced Gaussian process regression for function approximation and PDE solution—0
Neural Orientation Distribution Fields for Estimation and Uncertainty Quantification in Diffusion MRI—0
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