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2020 – today
- 2024
[j1]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: 112971 (2024)- [i3]Michael Wells, Kamel Lahouel, Bruno Jedynak:
The Stochastic Occupation Kernel Method for System Identification. CoRR abs/2406.15661 (2024) - 2023
- [i2]Victor Rielly, Kamel Lahouel, Ethan Lew, Michael Wells, Vicky Haney, Bruno Jedynak:
Learning High-Dimensional Nonparametric Differential Equations via Multivariate Occupation Kernel Functions. CoRR abs/2306.10189 (2023) - 2022
- [i1]Kamel Lahouel, Michael Wells, David Lovitz, Victor Rielly, Ethan Lew, Bruno Jedynak:
Learning Nonparametric Ordinary differential Equations: Application to Sparse and Noisy Data. CoRR abs/2206.15215 (2022)
2000 – 2009
- 2007
- [c1]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:
Experiences in Deploying Model-Driven Engineering. SDL Forum 2007: 35-53
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