There are in-numerous applications that deal with real scenarios where data are captured over time making them potential candidates for time series analysis. Time series contain temporal dependencies ...

About Mamba4Cast, a zero-shot time series forecasting model, achieves competitive performance and faster inference than transformer-based models by leveraging Mamba architecture and synthetic training ...

tsam - Time Series Aggregation Module tsam is a python package which uses different machine learning algorithms for the aggregation of time series.

Although current time-series forecasting methods have significantly improved the state-of-the-art (SOTA) results for long-sequence time-series forecasting (LSTF), they still have difficulty in ...

To empower AI, researchers have begun equipping them with various 'tools'—such as Python code interpreters, search engines ... This study reveals for the first time the essential mechanism of ...