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Uncertainty Quantification

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Showing 1676–1700 of 2366 papers

TitleStatusHype
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions—0
MD-split+: Practical Local Conformal Inference in High Dimensions—0
Medical Image Segmentation with Belief Function Theory and Deep Learning—0
Melanoma Detection with Uncertainty Quantification—0
Merging Two Cultures: Deep and Statistical Learning—0
MERIT: Multi-view Evidential learning for Reliable and Interpretable liver fibrosis sTaging—0
Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory—0
Meta-Learning Priors for Safe Bayesian Optimization—0
Meta-Learning Reliable Priors in the Function Space—0
Metrics for Benchmarking and Uncertainty Quantification: Quality, Applicability, and a Path to Best Practices for Machine Learning in Chemistry—0
Analysis of Diagnostics (Part I): Prevalence, Uncertainty Quantification, and Machine Learning—0
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference—0
Mitigating Audiovisual Mismatch in Visual-Guide Audio Captioning—0
Mitigating loss of variance in ensemble data assimilation: machine learning-based and distance-free localizations for better covariance estimation—0
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning—0
Model-Agnostic, Temperature-Informed Sampling Enhances Cross-Year Crop Mapping with Deep Learning—0
Model-Agnostic Uncertainty Quantification for Fast NFC Tag Identification using RF Fingerprinting—0
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning—0
Model Architecture Adaption for Bayesian Neural Networks—0
Model-based Estimation of Difference-in-Differences with Staggered Treatments—0
Model-free generalized fiducial inference—0
Model-Free Local Recalibration of Neural Networks—0
Model-free system identification of surface ships in waves via Hankel dynamic mode decomposition with control—0
Modeling Uncertainty in 3D Gaussian Splatting through Continuous Semantic Splatting—0
Model orthogonalization and Bayesian forecast mixing via Principal Component Analysis—0
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