| Workload Forecasting of a Logistic Node Using Bayesian Neural Networks | Nov 9, 2022 | Probabilistic Deep LearningProbabilistic Time Series Forecasting | —Unverified | 0 |
| A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography | Oct 30, 2022 | ObjectProbabilistic Deep Learning | CodeCode Available | 0 |
| Transductive Decoupled Variational Inference for Few-Shot Classification | Aug 22, 2022 | ClassificationFew-Shot Image Classification | CodeCode Available | 1 |
| FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation | May 31, 2022 | Deep LearningMulti-Task Learning | CodeCode Available | 1 |
| A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness | May 1, 2022 | Data AugmentationDeep Learning | CodeCode Available | 0 |
| Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows | Apr 29, 2022 | Decision MakingLoad Forecasting | CodeCode Available | 2 |
| A high-resolution canopy height model of the Earth | Apr 13, 2022 | Decision MakingProbabilistic Deep Learning | —Unverified | 0 |
| A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19 | Mar 8, 2022 | Correlated Time Series ForecastingCOVID-19 Modelling | CodeCode Available | 1 |
| Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks | Dec 16, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 0 |
| Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting | Dec 5, 2021 | Deep LearningProbabilistic Deep Learning | CodeCode Available | 1 |
