John Tencer

According to our database, John Tencer authored at least 5 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Hyper-Reduced Autoencoders for Efficient and Accurate Nonlinear Model Reductions.

Jorio Cocola, John Tencer, Francesco Rizzi, Eric J. Parish, Patrick J. Blonigan

CoRR, 2023

2021

A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data Using Unstructured Spatial Discretizations.

John Tencer, Kevin Potter

SIAM J. Sci. Comput., 2021

Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks.

Kevin Potter, Steven Sleder, Matthew Smith, Shehan Perera, Alper Yilmaz, John Tencer

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems.

Francesco Rizzi, Eric J. Parish, Patrick J. Blonigan, John Tencer

CoRR, 2020

Enabling Nonlinear Manifold Projection Reduced-Order Models by Extending Convolutional Neural Networks to Unstructured Data.

John Tencer, Kevin Potter

CoRR, 2020