| Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows | Apr 29, 2022 | Decision MakingLoad Forecasting | CodeCode Available | 2 |
| Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows | Feb 14, 2020 | Decision MakingMultivariate Time Series Forecasting | CodeCode Available | 2 |
| 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 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 |
| Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting | Dec 5, 2021 | Deep LearningProbabilistic Deep Learning | CodeCode Available | 1 |
| Probabilistic Deep Learning for Electric-Vehicle Energy-Use Prediction | Aug 23, 2021 | Deep LearningPrediction | CodeCode Available | 1 |
| Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks | Apr 15, 2021 | feature selectionProbabilistic Deep Learning | CodeCode Available | 1 |
| Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles | Mar 5, 2021 | Probabilistic Deep Learningregression | CodeCode Available | 1 |
| Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors | Jan 13, 2021 | Objectobject-detection | CodeCode Available | 1 |
