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Uncertainty Quantification

Papers

Showing 176200 of 2366 papers

TitleStatusHype
Generating Evidential BEV Maps in Continuous Driving SpaceCode1
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural NetworksCode1
Physics-informed Information Field Theory for Modeling Physical Systems with Uncertainty QuantificationCode1
Post-hoc Uncertainty Learning using a Dirichlet Meta-ModelCode1
Dual Accuracy-Quality-Driven Neural Network for Prediction Interval GenerationCode1
Copula Conformal Prediction for Multi-step Time Series ForecastingCode1
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of WildfiresCode1
Interpretable Self-Aware Neural Networks for Robust Trajectory PredictionCode1
Semi-supervised Variational Autoencoder for Regression: Application on Soft SensorsCode1
Materials Property Prediction with Uncertainty Quantification: A Benchmark StudyCode1
Bayesian Optimization with Conformal Prediction SetsCode1
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical AnalysisCode1
TabLeak: Tabular Data Leakage in Federated LearningCode1
Uncertainty Quantification of Collaborative Detection for Self-DrivingCode1
Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty QuantificationCode1
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?Code1
Likelihood-Free Parameter Estimation with Neural Bayes EstimatorsCode1
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural NetworksCode1
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure managementCode1
TrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty QuantificationCode1
Conformal prediction set for time-seriesCode1
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear ModulationCode1
Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse ProblemsCode1
The Unreasonable Effectiveness of Deep Evidential RegressionCode1
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study)Code1
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