| 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 |
| Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) | Nov 29, 2022 | Transfer LearningUncertainty Quantification | —Unverified | 0 |
| UQ-ARMED: Uncertainty quantification of adversarially-regularized mixed effects deep learning for clustered non-iid data | Nov 29, 2022 | PredictionPrognosis | —Unverified | 0 |
| Looking at the posterior: accuracy and uncertainty of neural-network predictions | Nov 26, 2022 | Active LearningBayesian Inference | —Unverified | 0 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 |
| An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds | Nov 25, 2022 | Uncertainty Quantification | —Unverified | 0 |
| MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity | Nov 24, 2022 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks | Nov 23, 2022 | BenchmarkingDeep Learning | —Unverified | 0 |
| SciAI4Industry -- Solving PDEs for industry-scale problems with deep learning | Nov 23, 2022 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification | Nov 20, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants | Nov 19, 2022 | Uncertainty Quantificationvalid | —Unverified | 0 |
| Fast Uncertainty Estimates in Deep Learning Interatomic Potentials | Nov 17, 2022 | Active LearningDeep Learning | —Unverified | 0 |
| ACon^2: Adaptive Conformal Consensus for Provable Blockchain Oracles | Nov 17, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction | Nov 16, 2022 | Autonomous DrivingAutonomous Vehicles | CodeCode Available | 1 |
| Prediction and Uncertainty Quantification of SAFARI-1 Axial Neutron Flux Profiles with Neural Networks | Nov 16, 2022 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| The Implicit Delta Method | Nov 11, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression | Nov 11, 2022 | regressionTime Series | —Unverified | 0 |
| Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models | Nov 11, 2022 | Image-to-Image TranslationOut-of-Distribution Detection | —Unverified | 0 |
| Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors | Nov 11, 2022 | regressionUncertainty Quantification | CodeCode Available | 1 |
| Robust DNN Surrogate Models with Uncertainty Quantification via Adversarial Training | Nov 10, 2022 | Computational EfficiencyUncertainty Quantification | —Unverified | 0 |
| 4DVarNet-SSH: end-to-end learning of variational interpolation schemes for nadir and wide-swath satellite altimetry | Nov 10, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian score calibration for approximate models | Nov 10, 2022 | Bayesian Inferencescoring rule | CodeCode Available | 0 |
| Sparse Bayesian Lasso via a Variable-Coefficient _1 Penalty | Nov 9, 2022 | regressionUncertainty Quantification | —Unverified | 0 |
| Gradient-enhanced deep neural network approximations | Nov 8, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification for Atlas-Level Cell Type Transfer | Nov 7, 2022 | DiversityUncertainty Quantification | —Unverified | 0 |
| Multi-output Gaussian processes for inverse uncertainty quantification in neutron noise analysis | Nov 4, 2022 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
