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06/26/2023
Neural State-Dependent Delay Differential Equations
Discontinuities and delayed terms are encountered in the governing equat...
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11/30/2022
Continuous Methods : Adaptively intrusive reduced order model closure
Reduced order modeling methods are often used as a mean to reduce simula...
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07/08/2022
Continuous Methods : Hamiltonian Domain Translation
This paper proposes a novel approach to domain translation. Leveraging e...
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02/22/2022
CD-ROM: Complementary Deep-Reduced Order Model
Model order reduction through the POD-Galerkin method can lead to dramat...
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12/15/2021
Leveraging the structure of dynamical systems for data-driven modeling
The reliable prediction of the temporal behavior of complex systems is r...
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02/20/2019
Shallow Learning for Fluid Flow Reconstruction with Limited Sensors and Limited Data
In many applications, it is important to reconstruct a fluid flow field,...
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02/23/2018
Diffusion Maps meet Nyström
Diffusion maps are an emerging data-driven technique for non-linear dime...
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02/17/2017
Observable dictionary learning for high-dimensional statistical inference
This paper introduces a method for efficiently inferring a high-dimensio...
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04/11/2016
