Saso Dzeroski

SORT shifts the focus from brittle term selection to adaptive basis design, enabling more robust and accurate equation discovery from noisy data.

Spectral learning faces a fundamental noise threshold that can destabilize coefficient estimates, challenging the reliability of functional recovery from noisy data.