Time series forecasting plays a central role in data-driven decision making. Yet, adapting forecasting models across different domains and temporal resolutions often requires custom engineering. This increases both development and maintenance costs —…
Time series forecasting is becoming increasingly important across various domains, thus having high-quality, diverse benchmarks are crucial for fair evaluation across model families.
We propose Moirai-MoE, the first mixture-of-experts time series foundation model, achieving token-level model specialization in a data-driven manner.
