collaborators

10 papers

math.DS2026

Weak-form Extended Dynamic Mode Decomposition

Christopher W. Curtis, David M. Bortz

In this work, we develop a weak-form version of Extended Dynamic Mode Decomposition that we call WEDMD. We establish a number of analytic results about the method and show explicit…

physics.comp-ph2026

Learning Effective Soliton Dynamics from Scattering Data

Seth Minor, Vanja Dukic, David M. Bortz

The inverse scattering transform (IST) provides the standard theoretical framework for deriving soliton dynamics. Traditionally, such derivations have been of an analytical, rather…

math.DS2026

Learning effective models from network dynamics data with multiple initial conditions using weak form SINDy

Moyi Tian, Daniel A. Messenger, Vanja Dukic +2

Social systems consist of networks of individuals who influence one another through social interactions. Studying how processes evolve on these networks can help us better understa…

math.OC2026

Time-Dependent PDE-Constrained Optimization via Weak-Form Latent Dynamics

April Tran, Terry Haut, David Bortz +1

Optimization problems constrained by high-dimensional, time-dependent partial differential equations require repeated forward and sensitivity solves, making high-fidelity optimizat…

stat.ME2026

A practical identifiability criterion leveraging weak-form parameter estimation

Nora Heitzman-Breen, Vanja Dukic, David M. Bortz

In this work, we define a practical identifiability criterion, (e, q)-identifiability, based on a parameter e, reflecting the noise in observed variables, and a parameter q, reflec…

cs.LG2025

WENDy for Nonlinear-in-Parameters ODEs

Nic Rummel, Daniel A. Messenger, Stephen Becker +2

The Weak-form Estimation of Non-linear Dynamics (WENDy) framework is a recently developed approach for parameter estimation and inference of systems of ordinary differential equati…