| Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking | Nov 13, 2020 | Multi-Object TrackingObject Tracking | —Unverified | 0 |
| A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges | Nov 12, 2020 | Decision MakingEnsemble Learning | —Unverified | 0 |
| (f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics | Nov 11, 2020 | Image GenerationUncertainty Quantification | —Unverified | 0 |
| Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging | Nov 10, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process | Nov 3, 2020 | Dimensionality ReductionGaussian Processes | —Unverified | 0 |
| Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals | Nov 3, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Reweighting samples under covariate shift using a Wasserstein distance criterion | Oct 19, 2020 | Uncertainty Quantification | —Unverified | 0 |
| KrigHedge: Gaussian Process Surrogates for Delta Hedging | Oct 16, 2020 | LEMMAUncertainty Quantification | CodeCode Available | 0 |
| Emulator-based global sensitivity analysis for flow-like landslide run-out models | Oct 8, 2020 | FrictionSensitivity | —Unverified | 0 |
| Physics-constrained Bayesian inference of state functions in classical density-functional theory | Oct 7, 2020 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
