| Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows | Feb 14, 2020 | Decision MakingMultivariate Time Series Forecasting | CodeCode Available | 2 |
| Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows | Apr 29, 2022 | Decision MakingLoad Forecasting | CodeCode Available | 2 |
| A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-Structures | Nov 11, 2020 | PositionProbabilistic 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 |
| 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 |
| Learning Monocular Dense Depth from Events | Oct 16, 2020 | Depth EstimationDepth Prediction | CodeCode Available | 1 |
| Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors | Jan 13, 2021 | Objectobject-detection | CodeCode Available | 1 |
| BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis | Apr 7, 2020 | 3D Medical Imaging SegmentationAutomatic Machine Learning Model Selection | CodeCode Available | 1 |
| FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation | May 31, 2022 | Deep LearningMulti-Task Learning | CodeCode Available | 1 |
| Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks | Apr 15, 2021 | feature selectionProbabilistic Deep Learning | CodeCode Available | 1 |
