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Uncertainty Quantification

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Showing 1826–1850 of 2366 papers

TitleStatusHype
Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei—0
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
Black-box Uncertainty Quantification Method for LLM-as-a-Judge—0
B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions—0
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data—0
Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review—0
Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation—0
Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability—0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector—0
Bridging the Sim-to-Real Gap with Bayesian Inference—0
B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning—0
Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity—0
Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing—0
Calibrated and Enhanced NRLMSIS 2.0 Model with Uncertainty Quantification—0
Calibrated Physics-Informed Uncertainty Quantification—0
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction—0
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation—0
Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models—0
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding—0
Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications—0
Calibration of the von Wolffersdorff model using Genetic Algorithms—0
Can Bayesian Neural Networks Make Confident Predictions?—0
Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective—0
CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving—0
Causal Bayesian Optimization—0
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