| D-PAD |
- MSE
- 0.374
- MAE
- 0.406
|
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting 2024-03-26 |
코드 1 |
| xPatch |
- MSE
- 0.391
- MAE
- 0.415
|
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition 2024-12-23 |
코드 1 |
| PatchMixer |
- MSE
- 0.392
- MAE
- 0.414
|
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting 2023-10-01 |
코드 1 · 코드 2 |
| Fredformer |
- MSE
- 0.395
- MAE
- 0.403
|
Fredformer: Frequency Debiased Transformer for Time Series Forecasting 2024-06-13 |
코드 1 |
| UniTime |
- MSE
- 0.398
- MAE
- 0.407
|
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting 2023-10-15 |
코드 1 |
| AutoTimes |
- MSE
- 0.401
- MAE
- 0.429
|
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models 2024-02-04 |
코드 1 |
| SegRNN |
- MSE
- 0.401
- MAE
- 0.417
|
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting 2023-08-22 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| TimeCMA |
- MSE
- 0.403
- MAE
- 0.405
|
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment 2024-06-03 |
코드 1 · 코드 2 · 코드 3 |
| UniTS-ST |
- MSE
- 0.405
- MAE
- 0.422
|
UniTS: A Unified Multi-Task Time Series Model 2024-02-29 |
코드 1 |
| ConvTimeNet |
- MSE
- 0.405
- MAE
- 0.420
|
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis 2024-03-03 |
코드 1 · 코드 2 · 코드 3 |
| ROSE |
- MSE
- 0.406
- MAE
- 0.422
|
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning 2024-05-24 |
연결 없음 |
| TEMPO |
- MSE
- 0.408
- MAE
- 0.425
|
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting 2023-10-08 |
코드 1 · 코드 2 |
| MOIRAISmall |
- MSE
- 0.412
- MAE
- 0.429
|
Unified Training of Universal Time Series Forecasting Transformers 2024-02-04 |
코드 1 |
| AMD |
- MSE
- 0.418
- MAE
- 0.427
|
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting 2024-06-06 |
코드 1 |
| WinNet |
- MSE
- 0.419
- MAE
- 0.426
|
WinNet: Make Only One Convolutional Layer Effective for Time Series Forecasting 2023-11-01 |
코드 1 |
| RLinear |
- MSE
- 0.42
- MAE
- 0.423
|
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping 2023-05-18 |
코드 1 |
| TSMixer |
- MSE
- 0.421
- MAE
- 0.436
|
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting 2023-06-14 |
코드 1 |
| PatchTST/64 |
- MSE
- 0.422
- MAE
- 0.44
|
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers 2022-11-27 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 |
| HiMTM |
- MSE
- 0.422
- MAE
- 0.430
|
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting 2024-01-10 |
연결 없음 |
| CATS |
- MSE
- 0.423
- MAE
- 0.437
|
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables 2024-03-04 |
코드 1 |
| SAMformer |
- MSE
- 0.423
- MAE
- 0.425
|
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention 2024-02-15 |
코드 1 |
| LTBoost (drop_last=false) |
- MSE
- 0.424
- MAE
- 0.423
|
LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting 2024-10-21 |
코드 1 |
| GTT-Large |
- MSE
- 0.424
- MAE
- 0.419
|
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction 2024-02-12 |
연결 없음 |
| DiPE-Linear |
- MSE
- 0.424
|
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting 2024-11-26 |
코드 1 |
| FITS |
- MSE
- 0.427
|
FITS: Modeling Time Series with $10k$ Parameters 2023-07-06 |
코드 1 · 코드 2 |
| PRformer |
- MSE
- 0.427
|
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting 2024-08-20 |
코드 1 |
| NLinear |
- MSE
- 0.429
- MAE
- 0.427
|
Are Transformers Effective for Time Series Forecasting? 2022-05-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 |
| TimeMachine |
- MSE
- 0.429
- MAE
- 0.421
|
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting 2024-03-14 |
코드 1 |
| GPHT |
- MSE
- 0.430
- MAE
- 0.423
|
Generative Pretrained Hierarchical Transformer for Time Series Forecasting 2024-02-26 |
코드 1 · 코드 2 |
| MoLE-RLinear |
- MSE
- 0.43
|
Mixture-of-Linear-Experts for Long-term Time Series Forecasting 2023-12-11 |
코드 1 |