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Uncertainty Quantification

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Showing 1376–1400 of 2366 papers

TitleStatusHype
Band-gap regression with architecture-optimized message-passing neural networksCode0
Medical Image Segmentation with Belief Function Theory and Deep Learning—0
Physics-informed reinforcement learning via probabilistic co-adjustment functions—0
Data-driven Bayesian Control of Port-Hamiltonian Systems—0
Efficient Uncertainty Quantification in a Multiscale Model of Pulmonary Arterial and Venous Hemodynamics—0
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty—0
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks—0
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification—0
Physics-Informed Polynomial Chaos Expansions—0
Analysis of Diagnostics (Part I): Prevalence, Uncertainty Quantification, and Machine Learning—0
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness—0
Inferences on Mixing Probabilities and Ranking in Mixed-Membership Models—0
Distributionally Robust Statistical Verification with Imprecise Neural Networks—0
Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution—0
Probabilistic load forecasting with Reservoir Computing—0
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification—0
Variational Density Propagation Continual Learning—0
Deep Evidential Learning for Bayesian Quantile Regression—0
Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling—0
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionCode0
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks—0
Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and InterpretationCode0
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
Fast Risk Assessment in Power Grids through Novel Gaussian Process and Active Learning—0
Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural NetworksCode0
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