| Aligned Multi-Task Gaussian Process | Oct 29, 2021 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Data-driven Uncertainty Quantification in Computational Human Head Models | Oct 29, 2021 | Density EstimationDimensionality Reduction | —Unverified | 0 |
| Probabilistic Autoencoder using Fisher Information | Oct 28, 2021 | DecoderPosition | —Unverified | 0 |
| Locally Differentially Private Bayesian Inference | Oct 27, 2021 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| Uncertainty quantification in a mechanical submodel driven by a Wasserstein-GAN | Oct 26, 2021 | Uncertainty Quantification | —Unverified | 0 |
| AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification | Oct 26, 2021 | Uncertainty Quantification | —Unverified | 0 |
| A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures | Oct 26, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo | Oct 25, 2021 | Image RegistrationUncertainty Quantification | CodeCode Available | 0 |
| Quantifying Epistemic Uncertainty in Deep Learning | Oct 23, 2021 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Merging Two Cultures: Deep and Statistical Learning | Oct 22, 2021 | Dimensionality ReductionFeature Engineering | —Unverified | 0 |