| Discrete Graph Structure Learning for Forecasting Multiple Time Series | Jan 18, 2021 | Graph structure learningTime Series | CodeCode Available | 1 |
| Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data | Jan 12, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Predicting Patient Outcomes with Graph Representation Learning | Jan 11, 2021 | Graph Representation LearningLength-of-Stay prediction | CodeCode Available | 1 |
| Data Normalization for Bilinear Structures in High-Frequency Financial Time-series | Jan 10, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Do We Really Need Deep Learning Models for Time Series Forecasting? | Jan 6, 2021 | Deep Learningregression | CodeCode Available | 1 |
| Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks | Jan 1, 2021 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space | Jan 1, 2021 | Data AugmentationTime Series | CodeCode Available | 1 |
| Ensembles of Localised Models for Time Series Forecasting | Dec 30, 2020 | ClusteringTime Series | CodeCode Available | 1 |
| Towards Automated Satellite Conjunction Management with Bayesian Deep Learning | Dec 23, 2020 | Collision AvoidanceDeep Learning | CodeCode Available | 1 |
| Score Matched Neural Exponential Families for Likelihood-Free Inference | Dec 20, 2020 | Bayesian InferenceTime Series | CodeCode Available | 1 |
