| Generative Optimization Networks for Memory Efficient Data Generation | Oct 6, 2021 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| Predicting the Stability of Hierarchical Triple Systems with Convolutional Neural Networks | Jun 24, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Generating Sparse Counterfactual Explanations For Multivariate Time Series | Jun 2, 2022 | counterfactualGenerative Adversarial Network | CodeCode Available | 0 | 5 |
| A General Deep Learning Framework for Network Reconstruction and Dynamics Learning | Dec 30, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Generative Adversarial Network for Future Hand Segmentation from Egocentric Video | Mar 21, 2022 | Generative Adversarial NetworkHand Segmentation | CodeCode Available | 0 | 5 |
| Generative model for financial time series trained with MMD using a signature kernel | Jul 29, 2024 | ManagementPortfolio Optimization | CodeCode Available | 0 | 5 |
| GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data | Jun 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers | Jun 1, 2024 | Gaussian ProcessesMixture-of-Experts | CodeCode Available | 0 | 5 |
| Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series | Nov 19, 2024 | Time SeriesTime Series Prediction | CodeCode Available | 0 | 5 |
| Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series | Sep 13, 2018 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
