| Instance-wise Graph-based Framework for Multivariate Time Series Forecasting | Sep 14, 2021 | Multivariate Time Series ForecastingTime Series | 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 |
| Differentiable Compositional Kernel Learning for Gaussian Processes | Jun 12, 2018 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
| Differentiable Divergences Between Time Series | Oct 16, 2020 | Dynamic Time WarpingTime Series | CodeCode Available | 1 | 5 |
| Insights into LSTM Fully Convolutional Networks for Time Series Classification | Feb 27, 2019 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load | Feb 21, 2024 | DenoisingLoad Forecasting | CodeCode Available | 1 | 5 |
| Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-seq Data Analysis | Mar 14, 2025 | Time Series | CodeCode Available | 1 | 5 |
| Diffusion-based Conditional ECG Generation with Structured State Space Models | Jan 19, 2023 | State Space ModelsSynthetic Data Generation | CodeCode Available | 1 | 5 |
| BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling | Mar 8, 2025 | Meta-LearningTime Series | CodeCode Available | 1 | 5 |
| Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization | Jun 29, 2024 | Dynamic Time WarpingPrediction | CodeCode Available | 1 | 5 |
