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John Tencer
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 5
Top Topics
Linear Model
Reduced Order
Convolutional Neural Networks
Textual Data
Top Venues
CoRR
ICCVW
SIAM J. Sci. Comput.
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Publications
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Jorio Cocola
,
John Tencer
,
Francesco Rizzi
,
Eric J. Parish
,
Patrick J. Blonigan
Hyper-Reduced Autoencoders for Efficient and Accurate Nonlinear Model Reductions.
CoRR
(2023)
John Tencer
,
Kevin Potter
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data Using Unstructured Spatial Discretizations.
SIAM J. Sci. Comput.
43 (4) (2021)
Kevin Potter
,
Steven Sleder
,
Matthew Smith
,
Shehan Perera
,
Alper Yilmaz
,
John Tencer
Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks.
ICCVW
(2021)
Francesco Rizzi
,
Eric J. Parish
,
Patrick J. Blonigan
,
John Tencer
A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems.
CoRR
(2020)
John Tencer
,
Kevin Potter
Enabling Nonlinear Manifold Projection Reduced-Order Models by Extending Convolutional Neural Networks to Unstructured Data.
CoRR
(2020)