Machine Learning

Latent attention on masked patches for flow reconstruction (LAMP)

This paper introduces LAMP, an interpretable regression-based vision transformer that reconstructs full flow fields from heavily masked and noisy inputs, and yields optimal sensor-placement maps.

Real-time digital twins: unifying bias-aware data assimilation and machine learning

Invited seminar at Data-Centric Engineering Journal (Cassyni).

Inferring unknown unknowns

This paper develops novel methods to infer unknown unknowns in complex dynamical systems using data assimilation techniques.