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Uncertainty Quantification

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Showing 1651–1675 of 2366 papers

TitleStatusHype
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints—0
Uncertainty Quantification and Sensitivity analysis for Digital Twin Enabling Technology: Application for BISON Fuel Performance Code—0
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes—0
Learning Multivariate CDFs and Copulas using Tensor Factorization—0
Quantifying Uncertainty with Probabilistic Machine Learning Modeling in Wireless Sensing—0
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks—0
Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption—0
Sampling-based inference for large linear models, with application to linearised LaplaceCode0
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing—0
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis—0
Multi-fidelity Monte Carlo: a pseudo-marginal approach—0
Efficient Bayes Inference in Neural Networks through Adaptive Importance SamplingCode0
Meta-Learning Priors for Safe Bayesian Optimization—0
Causal Estimation for Text Data with (Apparent) Overlap Violations—0
Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature—0
Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System—0
Φ-DVAE: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilation—0
Label Noise Robustness of Conformal Prediction—0
SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception—0
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning modelsCode0
Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization—0
Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles—0
Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography—0
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation—0
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields—0
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