2 papers
cs.LG2025
Tailored Forecasting from Short Time Series via Meta-learning
Declan A. Norton, Edward Ott, Andrew Pomerance +2
Machine learning models can effectively forecast dynamical systems from time-series data, but they typically require large amounts of past data, making forecasting particularly cha…
nlin.CD2025
Locality Blended Next Generation Reservoir Computing For Attention Accuracy
Daniel J. Gauthier, Andrew Pomerance, Erik Bollt
We extend an advanced variation of a machine learning algorithm, next-generation reservoir Computing (NGRC), to forecast the dynamics of the Ikeda map of a chaotic laser. The machi…