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10/07/2022
Learning a Visually Grounded Memory Assistant
We introduce a novel interface for large scale collection of human memor...
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06/06/2022
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
The long runtime of high-fidelity partial differential equation (PDE) so...
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03/23/2022
Preconditioned Least-Squares Petrov-Galerkin Reduced Order Models
This paper introduces a methodology for improving the accuracy and effic...
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09/25/2021
Model reduction for the material point method via learning the deformation map and its spatial-temporal gradients
This work proposes a model-reduction approach for the material point met...
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10/14/2020
Optimal Assistance for Object-Rearrangement Tasks in Augmented Reality
Augmented-reality (AR) glasses that will have access to onboard sensors ...
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07/23/2020
Domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) nonlinear model reduction
While reduced-order models (ROMs) have demonstrated success in many appl...
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08/29/2019
The network uncertainty quantification method for propagating uncertainties in component-based systems
This work introduces the network uncertainty quantification (NetUQ) meth...
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01/09/2019
Statistical closure modeling for reduced-order models of stationary systems by the ROMES method
This work proposes a technique for constructing a statistical closure mo...
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12/20/2018
Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders
Nearly all model-reduction techniques project the governing equations on...
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11/30/2017
Conservative model reduction for finite-volume models
This work proposes a method for model reduction of finite-volume models ...
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03/14/2017
Space-time least-squares Petrov-Galerkin projection for nonlinear model reduction
This work proposes a space-time least-squares Petrov-Galerkin (ST-LSPG) ...
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05/20/2014
