| Deep Injective Prior for Inverse Scattering | Jan 8, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution | Jan 5, 2023 | DecoderTime Series | CodeCode Available | 2 |
| L-HYDRA: Multi-Head Physics-Informed Neural Networks | Jan 5, 2023 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| Deep Deterministic Uncertainty: A New Simple Baseline | Jan 1, 2023 | Active LearningSemantic Segmentation | —Unverified | 0 |
| Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion | Dec 30, 2022 | Decision MakingSeismic Inversion | —Unverified | 0 |
| Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis | Dec 30, 2022 | Dimensionality ReductionSupervised dimensionality reduction | —Unverified | 0 |
| A Learning-Based Optimal Uncertainty Quantification Method and Its Application to Ballistic Impact Problems | Dec 28, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning | Dec 24, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| Anomaly Detection using Ensemble Classification and Evidence Theory | Dec 23, 2022 | Anomaly DetectionClassification | —Unverified | 0 |
| Parameter Inference based on Gaussian Processes Informed by Nonlinear Partial Differential Equations | Dec 22, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Estimating and Assessing Differential Equation Models with Time-Course Data | Dec 20, 2022 | Numerical IntegrationUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification of MLE for Entity Ranking with Covariates | Dec 20, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls | Dec 15, 2022 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Demonstration of machine-learning-enhanced Bayesian quantum state estimation | Dec 15, 2022 | Experimental DesignQuantum State Tomography | —Unverified | 0 |
| Generative structured normalizing flow Gaussian processes applied to spectroscopic data | Dec 14, 2022 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks | Dec 14, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines | Dec 14, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Post-hoc Uncertainty Learning using a Dirichlet Meta-Model | Dec 14, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation | Dec 13, 2022 | PredictionPrediction Intervals | CodeCode Available | 1 |
| Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization | Dec 9, 2022 | Decision Makingmotion prediction | —Unverified | 0 |
| Uncertainty Estimation in Deep Speech Enhancement Using Complex Gaussian Mixture Models | Dec 9, 2022 | Speech EnhancementUncertainty Quantification | —Unverified | 0 |
| Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks | Dec 8, 2022 | Computational EfficiencyData Augmentation | —Unverified | 0 |
| GAUCHE: A Library for Gaussian Processes in Chemistry | Dec 6, 2022 | Bayesian OptimisationGaussian Processes | CodeCode Available | 2 |
| Copula Conformal Prediction for Multi-step Time Series Forecasting | Dec 6, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires | Dec 2, 2022 | Uncertainty Quantification | CodeCode Available | 1 |
