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Uncertainty Quantification

Papers

Showing 326350 of 2366 papers

TitleStatusHype
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation0
Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality0
Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification0
A Survey on Uncertainty Quantification Methods for Deep Learning0
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems0
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification0
Accelerating Markov Random Field Inference with Uncertainty Quantification0
A Hybrid Deep Neural Operator/Finite Element Method for Ice-Sheet Modeling0
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere0
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference0
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning0
A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty0
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification0
A Statistical Machine Learning Approach for Adapting Reduced-Order Models using Projected Gaussian Process0
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport0
Active Inference or Control as Inference? A Unifying View0
Certified and fast computations with shallow covariance kernels0
A Staged Approach using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture0
Assumption-free fidelity bounds for hardware noise characterization0
Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression0
Assessment of Uncertainty Quantification in Universal Differential Equations0
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks0
Accelerating Ensemble Error Bar Prediction with Single Models Fits0
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves0
Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems0
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