Experiences in Deploying Model-Driven Engineering. - Thomas Weigert; Frank Weil; Kevin Marth; Paul Baker; Clive Jervis; Paul H. Dietz; Yexuan Gui; Aswin van den Berg; Kim Fleer; David Nelson; Michael Wells; Brian E. Mastenbrook (SDL Forum, 2007)

Learning Nonparametric Ordinary differential Equations: Application to Sparse and Noisy Data. - Kamel Lahouel; Michael Wells; David Lovitz; Victor Rielly; Ethan Lew; Bruno Jedynak (CoRR, 2022)

Learning High-Dimensional Nonparametric Differential Equations via Multivariate Occupation Kernel Functions. - Victor Rielly; Kamel Lahouel; Ethan Lew; Michael Wells; Vicky Haney; Bruno Jedynak (CoRR, 2023)

The Stochastic Occupation Kernel Method for System Identification. - Michael Wells; Kamel Lahouel; Bruno Jedynak (CoRR, 2024)

Learning nonparametric ordinary differential equations from noisy data. - Kamel Lahouel; Michael Wells; Victor Rielly; Ethan Lew; David Lovitz; Bruno M. Jedynak (J. Comput. Phys., 2024)

MOCK: an Algorithm for Learning Nonparametric Differential Equations via Multivariate Occupation Kernel Functions. - Victor Rielly; Kamel Lahouel; Ethan Lew; Nicholas Fisher; Vicky Haney; Michael Wells; Bruno M. Jedynak (Trans. Mach. Learn. Res., 2025)

The Stochastic Occupation Kernel (SOCK) Method for Learning Stochastic Differential Equations. - Michael Wells; Kamel Lahouel; Bruno Jedynak (CoRR, 2025)