Synthics: Synthetic Physics-like Datasets for Machine Learning

Synthics: Synthetic Physics-like Datasets for Machine Learning

Announce Type: new Abstract: Representative data is fundamental in machine learning, as limited data hinders generalisation. Collecting sufficient real-world samples is often infeasible. Synthetic data generation offers a practical solution, but only if the generated data faithfully reflects the structure of real observations.