Multi-Modal Time Series Prediction via Mixture of Modulated Experts
The episode discusses a paper titled "Multi-Modal Time Series Prediction via Mixture of Modulated Experts." Hosts analyze how this framework improves upon standard time series analysis by moving beyond simple data blending. They conclude that using external context, like news, actively guides specialized experts to make predictions more reliable and interpretable across various domains.