| (f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics | Nov 11, 2020 | Image GenerationUncertainty Quantification | —Unverified | 0 |
| Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models | Mar 23, 2019 | regressionTime Series Analysis | —Unverified | 0 |
| Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks | Jun 27, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian Entropy Neural Networks for Physics-Aware Prediction | Jul 1, 2024 | PredictionUncertainty Quantification | —Unverified | 0 |
| Data-driven polynomial chaos expansion for machine learning regression | Aug 9, 2018 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Finite Element Method-enhanced Neural Network for Forward and Inverse Problems | May 17, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective | Jan 5, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Comparing the quality of neural network uncertainty estimates for classification problems | Aug 11, 2023 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport | Dec 14, 2024 | Super-ResolutionTemporal Sequences | —Unverified | 0 |
| Analytical results for uncertainty propagation through trained machine learning regression models | Apr 17, 2024 | Computational EfficiencyGaussian Processes | —Unverified | 0 |
| A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification | May 13, 2022 | GPRregression | —Unverified | 0 |
| Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling | Aug 7, 2024 | Computational EfficiencyOut-of-Distribution Detection | —Unverified | 0 |
| A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty | Jul 26, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Forecasting Geopolitical Events with a Sparse Temporal Fusion Transformer and Gaussian Process Hybrid: A Case Study in Middle Eastern and U.S. Conflict Dynamics | Jun 26, 2025 | Uncertainty Quantification | —Unverified | 0 |
| Complementing Semi-Supervised Learning with Uncertainty Quantification | Jul 22, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Forecasting the future development in quality and value of professional football players for applications in team management | Feb 11, 2025 | Explainable ModelsManagement | —Unverified | 0 |
| Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes | May 15, 2019 | Gaussian ProcessesTraffic Prediction | —Unverified | 0 |
| Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks | Feb 19, 2022 | Active LearningPrediction | —Unverified | 0 |
| Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares | May 23, 2025 | Density Estimationparameter estimation | —Unverified | 0 |
| FREIDA: A Framework for developing quantitative agent based models based on qualitative expert knowledge | Jul 21, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Frequentist Guarantees of Distributed (Non)-Bayesian Inference | Nov 14, 2023 | Bayesian InferenceElectrical Engineering | —Unverified | 0 |
| Accelerating Markov Random Field Inference with Uncertainty Quantification | Aug 2, 2021 | GPUHigh-Level Synthesis | —Unverified | 0 |
| From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence | Jan 5, 2025 | Decision MakingEnsemble Learning | —Unverified | 0 |
| From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions | Jan 27, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures | Nov 1, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |