Michael Wells

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 4

Top Topics

Ordinary Differential Equations

Learning Problems

Kernel Function

Top Venues

J. Comput. Phys.

Publications

Michael Wells, Kamel Lahouel, Bruno Jedynak
The Stochastic Occupation Kernel Method for System Identification. CoRR (2024)
Kamel Lahouel, Michael Wells, Victor Rielly, Ethan Lew, David Lovitz, Bruno M. Jedynak
Learning nonparametric ordinary differential equations from noisy data. J. Comput. Phys. 507 (2024)
Victor Rielly, Kamel Lahouel, Ethan Lew, Michael Wells, Vicky Haney, Bruno Jedynak
Learning High-Dimensional Nonparametric Differential Equations via Multivariate Occupation Kernel Functions. CoRR (2023)
Kamel Lahouel, Michael Wells, David Lovitz, Victor Rielly, Ethan Lew, Bruno Jedynak
Learning Nonparametric Ordinary differential Equations: Application to Sparse and Noisy Data. CoRR (2022)
Thomas Weigert, Frank Weil, Kevin Marth, Paul Baker, Clive Jervis, Paul Dietz, Yexuan Gui, Aswin van den Berg, Kim Fleer, David Nelson, Michael Wells, Brian E. Mastenbrook
Experiences in Deploying Model-Driven Engineering. SDL Forum (2007)