| Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting | Oct 4, 2024 | tensor algebraTime Series | CodeCode Available | 0 |
| SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation | Oct 4, 2024 | ImputationMultivariate Time Series Imputation | CodeCode Available | 0 |
| Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting | Oct 4, 2024 | Probabilistic Time Series ForecastingTime Series | —Unverified | 0 |
| SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model | Oct 4, 2024 | Time Series | —Unverified | 0 |
| Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAs | Oct 4, 2024 | Neural Architecture SearchQuantization | —Unverified | 0 |
| A new GARCH model with a deterministic time-varying intercept | Oct 4, 2024 | Time Series | —Unverified | 0 |
| Forest Proximities for Time Series | Oct 4, 2024 | Time SeriesTime Series Classification | —Unverified | 0 |
| Metadata Matters for Time Series: Informative Forecasting with Transformers | Oct 4, 2024 | Financial AnalysisTime Series | —Unverified | 0 |
| Embedded Topic Models Enhanced by Wikification | Oct 3, 2024 | ArticlesTime Series | —Unverified | 0 |
| Learning K-U-Net with constant complexity: An Application to time series forecasting | Oct 3, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
