A decoder-only foundation model for time-series forecasting
Time-series forecasting is ubiquitous in numerous domains, similar to retail, finance, manufacturing, healthcare and pure sciences. In retail use instances, ...
Tag: forecasting
Generative AI to quantify uncertainty in weather forecasting
In December 1972, on the American Association for the Advancement of Science assembly in Washington, D.C., MIT meteorology professor Ed ...
Probabilistic time series forecasting with compositional bayesian neural networks
AutoBNN combines the interpretability of conventional probabilistic approaches with the scalability and adaptability of neural networks for constructing subtle time ...
