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Michael Wells
Publication Activity (10 Years)
Years Active: 2007-2023
Publications (10 Years): 2
Top Topics
Noisy Data
Noise Tolerant
Reinforcement Learning
Ordinary Differential Equations
Top Venues
CoRR
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Publications
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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)