| A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning | Jun 1, 2024 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 | 0 |
| Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression | Nov 11, 2022 | regressionTime Series | —Unverified | 0 | 0 |
| A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty | Jul 26, 2019 | Uncertainty Quantification | —Unverified | 0 | 0 |
| A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification | May 13, 2022 | GPRregression | —Unverified | 0 | 0 |
| Comparing the quality of neural network uncertainty estimates for classification problems | Aug 11, 2023 | Decision MakingUncertainty Quantification | —Unverified | 0 | 0 |
| A Statistical Machine Learning Approach for Adapting Reduced-Order Models using Projected Gaussian Process | Oct 18, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring | Apr 12, 2023 | Decision MakingPredictive Process Monitoring | —Unverified | 0 | 0 |
| A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport | Dec 14, 2024 | Super-ResolutionTemporal Sequences | —Unverified | 0 | 0 |
| Active Inference or Control as Inference? A Unifying View | Oct 1, 2020 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Accelerating Markov Random Field Inference with Uncertainty Quantification | Aug 2, 2021 | GPUHigh-Level Synthesis | —Unverified | 0 | 0 |
