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| Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning | Nov 24, 2023 | Time SeriesUncertainty Quantification | —Unverified | 0 |
| On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning | Nov 21, 2023 | Conformal PredictionDeep Learning | —Unverified | 0 |
| Variational Elliptical Processes | Nov 21, 2023 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Favour: FAst Variance Operator for Uncertainty Rating | Nov 21, 2023 | Variational Inference | —Unverified | 0 |
| Neural Graph Collaborative Filtering Using Variational Inference | Nov 20, 2023 | Collaborative FilteringRecommendation Systems | —Unverified | 0 |
| Bayesian Neural Networks: A Min-Max Game Framework | Nov 18, 2023 | Variational Inference | —Unverified | 0 |
| Informative Priors Improve the Reliability of Multimodal Clinical Data Classification | Nov 17, 2023 | Time SeriesVariational Inference | —Unverified | 0 |
| A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series | Nov 16, 2023 | Knowledge DistillationTime Series | —Unverified | 0 |
| Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models | Nov 14, 2023 | Variational Inference | —Unverified | 0 |
