Michael W. Mahoney

Researchers aim to improve predictions of partial differential equations using Neural Operators.

New parameterization method improves state-space model performance in various applications.

A fresh approach improves learning from neural network weight space.

A study on the effectiveness of different DLWP models in weather forecasting.

Discover the importance of classifier disagreement in improving model performance.

A new tool helps businesses forecast demand more accurately during peak events.

A new method simplifies solving complex equations while following strict rules.

Discover how wavelet methods improve time series forecasting accuracy.