| DeepMoD: Deep learning for Model Discovery in noisy data | Apr 20, 2019 | Deep LearningModel Discovery | CodeCode Available | 1 | 5 |
| Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series | Oct 19, 2023 | DiversityFeature Engineering | CodeCode Available | 1 | 5 |
| Dynamic Sparse Network for Time Series Classification: Learning What to "see'' | Dec 19, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting | Oct 12, 2022 | Graph GenerationGraph structure learning | CodeCode Available | 1 | 5 |
| Remaining Useful Life Estimation Under Uncertainty with Causal GraphNets | Nov 23, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Remaining Useful Life Prediction for Aircraft Engines using LSTM | Jan 15, 2024 | PredictionTemporal Sequences | CodeCode Available | 1 | 5 |
| Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown | Feb 21, 2021 | DecoderTime Series | CodeCode Available | 1 | 5 |
| DYNOTEARS: Structure Learning from Time-Series Data | Feb 2, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis | Jan 10, 2024 | Irregular Time SeriesTime Series | CodeCode Available | 1 | 5 |
| BolT: Fused Window Transformers for fMRI Time Series Analysis | May 23, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
