You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Clearly, this is a very interesting question. The use of state-space models as a base for large models has recently become a very popular topic. For example, papers like "Is Mamba Effective for Time Series Forecasting?" and "TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting" have made numerous attempts. In fact, we have also been studying the use of state-space models for time series forecasting for a long time and have followed the precursor to the Mamba model, the S4 model. However, we have not achieved good results in time series forecasting, which is why we decided to "let the bullets fly" for a while. We also look forward to seeing breakthroughs in time series forecasting using SSM. Finally, I would like to mention that as a general reprogramming framework, we are obviously also capable of adapting Mamba or Jamba and look forward to more like-minded friends joining us to contribute code.
Has any work been done with state space models. I'd be curious how they would perform with this framework applied.
The text was updated successfully, but these errors were encountered: