Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting
Brooks Kinch, Xiaozhe Hu, Yilong Huang +6
For autoregressive modeling of chaotic dynamical systems over long time horizons, the stability of both training and inference is a major challenge in building scientific foundatio…
cs.LG2025
Physics-informed sensor coverage through structure preserving machine learning
Benjamin David Shaffer, Brooks Kinch, Joseph Klobusicky +2
We present a machine learning framework for adaptive source localization in which agents use a structure-preserving digital twin of a coupled hydrodynamic-transport system for real…
cs.LG2025
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms
Brooks Kinch, Benjamin Shaffer, Elizabeth Armstrong +3
We present a framework for constructing real-time digital twins based on structure-preserving reduced finite element models conditioned on a latent variable Z. The approach uses co…