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Uncertainty Quantification

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Showing 1801–1850 of 2366 papers

TitleStatusHype
Bayesian Predictive Coding—0
Bayesian Probabilistic Matrix Factorization—0
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective—0
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data—0
Bayesian SegNet for Semantic Segmentation with Improved Interpretation of Microstructural Evolution During Irradiation of Materials—0
Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning—0
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing—0
Bayesian Spike Train Inference via Non-Local Priors—0
Bayesian subset selection and variable importance for interpretable prediction and classification—0
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval—0
Bayesian Uncertainty Quantification for Anaerobic Digestion models—0
BayesIMP: Uncertainty Quantification for Causal Data Fusion—0
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections—0
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization—0
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks—0
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift—0
Beta-Sorted Portfolios—0
Better Uncertainty Quantification for Machine Translation Evaluation—0
Between Randomness and Arbitrariness: Some Lessons for Reliable Machine Learning at Scale—0
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation—0
Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions—0
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning—0
Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization—0
Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA—0
Beyond the Norms: Detecting Prediction Errors in Regression Models—0
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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