AI RESEARCH
Graph Transfer Learning via Shared Latent Geometry: Theory and Applications
arXiv CS.LG
•
ArXi:2606.00716v1 Announce Type: new Inference and control in engineered physical systems pay a heavy physics cost at deployment: state estimators, inverse-problem solvers, model-predictive controllers, schedulers, and observers are often not closed-form and must re-solve a numerical optimization per instance, with the operator re-supplied each time. Physics-informed learning moves this cost to