Wayne Isaac Tan Uy | DeepAI

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Benjamin Peherstorfer
31 publications
Yuepeng Wang
9 publications
Dirk Hartmann
7 publications
Cheng Huang
7 publications
Yuxiao Wen
2 publications
Christopher R. Wentland
1 publication
Rodrigo Singh
1 publication
Mircea Grigoriu
1 publication

∙ 07/27/2023

Lookahead data-gathering strategies for online adaptive model reduction of transport-dominated problems

Online adaptive model reduction efficiently reduces numerical models of ...

0 Rodrigo Singh, et al. ∙

∙ 12/02/2022

Operator inference with roll outs for learning reduced models from scarce and low-quality data

Data-driven modeling has become a key building block in computational sc...

0 Wayne Isaac Tan Uy, et al. ∙

∙ 09/14/2022

Reduced models with nonlinear approximations of latent dynamics for model premixed flame problems

Efficiently reducing models of chemically reacting flows is often challe...

0 Wayne Isaac Tan Uy, et al. ∙

∙ 07/20/2021

Active operator inference for learning low-dimensional dynamical-system models from noisy data

Noise poses a challenge for learning dynamical-system models because alr...

0 Wayne Isaac Tan Uy, et al. ∙

∙ 03/01/2021

Operator inference of non-Markovian terms for learning reduced models from partially observed state trajectories

This work introduces a non-intrusive model reduction approach for learni...

0 Wayne Isaac Tan Uy, et al. ∙

∙ 05/12/2020

Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations

This work derives a residual-based a posteriori error estimator for redu...

0 Wayne Isaac Tan Uy, et al. ∙

∙ 01/15/2020

Time evolution of the characteristic and probability density function of diffusion processes via neural networks

We investigate the use of physics-informed neural networks-based solutio...

25 Wayne Isaac Tan Uy, et al. ∙

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