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| Meta-learning framework with applications to zero-shot time-series forecasting | Feb 7, 2020 | Meta-LearningTime Series | CodeCode Available | 1 | 5 |
| Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting | Jul 6, 2020 | Graph GenerationGraph Neural Network | CodeCode Available | 1 | 5 |
| DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales | Apr 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Deep Stock Predictions | Jun 8, 2020 | Portfolio OptimizationPrediction | CodeCode Available | 1 | 5 |
| Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting | Sep 10, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks | Jun 18, 2021 | Graph AttentionTime Series | CodeCode Available | 1 | 5 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| Deeptime: a Python library for machine learning dynamical models from time series data | Oct 28, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| An efficient aggregation method for the symbolic representation of temporal data | Jan 14, 2022 | Dimensionality ReductionInformation Retrieval | CodeCode Available | 1 | 5 |
