activity
20072026
most citedData-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach

27 citations · 66 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

math.NA2026

Autoencoders vs. Numerical Analysis--Informed Manifold Learning for Navier--Stokes Flows

Alessandro Della Pia, Lucia Russo, Ioannis Kevrekidis +1

Autoencoders (AEs) have become a dominant approach to nonlinear latent-space construction in data-driven reduced-order modelling (ROM), with their decoders lifting latent represent…

math.NA2026

RANDSMAPs: Random-Feature/multi-Scale Neural Decoders with Mass Preservation

Dimitrios G. Patsatzis, Alessandro Della Pia, Lucia Russo +1

We introduce RANDSMAPs (Random-feature/multi-scale neural decoders with Mass Preservation), numerical analysis-informed, explainable neural decoders designed to explicitly respect…