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Uncertainty Quantification

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TitleStatusHype
Evidential Physics-Informed Neural Networks—0
Visualizing Uncertainty in Translation Tasks: An Evaluation of LLM Performance and Confidence MetricsCode0
Approximate Message Passing for Bayesian Neural NetworksCode0
Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine LearningCode1
coverforest: Conformal Predictions with Random Forest in PythonCode1
Making Reliable and Flexible Decisions in Long-tailed ClassificationCode0
Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century—0
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective—0
Are generative models fair? A study of racial bias in dermatological image generation—0
Can Bayesian Neural Networks Make Confident Predictions?—0
Enhancing Diagnostic in 3D COVID-19 Pneumonia CT-scans through Explainable Uncertainty Bayesian Quantification—0
Deep Operator Networks for Bayesian Parameter Estimation in PDEs—0
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading—0
Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning—0
Scalable Bayesian Physics-Informed Kolmogorov-Arnold Networks—0
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation—0
Testing Human-Hand Segmentation on In-Distribution and Out-of-Distribution Data in Human-Robot Interactions Using a Deep Ensemble Model—0
Compact Bayesian Neural Networks via pruned MCMC samplingCode0
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach—0
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural NetworksCode0
Distilling Calibration via Conformalized Credal Inference—0
Geophysical inverse problems with measurement-guided diffusion models—0
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks—0
Probabilistic Skip Connections for Deterministic Uncertainty Quantification in Deep Neural Networks—0
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval—0
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