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2020 – today
- 2024
[i8]Haoran Zhao, Wayne Isaac Tan Uy:
GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes. CoRR abs/2402.02010 (2024)- 2023
- [j5]Wayne Isaac Tan Uy, Dirk Hartmann, Benjamin Peherstorfer:
Operator inference with roll outs for learning reduced models from scarce and low-quality data. Comput. Math. Appl. 145: 224-239 (2023) - [j4]Wayne Isaac Tan Uy
, Yuepeng Wang, Yuxiao Wen, Benjamin Peherstorfer:
Active Operator Inference for Learning Low-Dimensional Dynamical-System Models from Noisy Data. SIAM J. Sci. Comput. 45(4) (2023) - [i7]Rodrigo Singh, Wayne Isaac Tan Uy, Benjamin Peherstorfer:
Lookahead data-gathering strategies for online adaptive model reduction of transport-dominated problems. CoRR abs/2307.14874 (2023) - 2022
- [i6]Wayne Isaac Tan Uy, Christopher R. Wentland, Cheng Huang, Benjamin Peherstorfer:
Reduced models with nonlinear approximations of latent dynamics for model premixed flame problems. CoRR abs/2209.06957 (2022) - [i5]Wayne Isaac Tan Uy, Dirk Hartmann, Benjamin Peherstorfer:
Operator inference with roll outs for learning reduced models from scarce and low-quality data. CoRR abs/2212.01418 (2022) - 2021
- [j3]Wayne Isaac Tan Uy, Benjamin Peherstorfer:
Operator Inference of Non-Markovian Terms for Learning Reduced Models from Partially Observed State Trajectories. J. Sci. Comput. 88(3): 91 (2021) - [i4]Wayne Isaac Tan Uy, Benjamin Peherstorfer:
Operator inference of non-Markovian terms for learning reduced models from partially observed state trajectories. CoRR abs/2103.01362 (2021) - [i3]Wayne Isaac Tan Uy, Yuepeng Wang, Yuxiao Wen, Benjamin Peherstorfer:
Active operator inference for learning low-dimensional dynamical-system models from noisy data. CoRR abs/2107.09256 (2021) - 2020
- [i2]Wayne Isaac Tan Uy, Mircea Grigoriu:
Time evolution of the characteristic and probability density function of diffusion processes via neural networks. CoRR abs/2001.05437 (2020) - [i1]Wayne Isaac Tan Uy, Benjamin Peherstorfer:
Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations. CoRR abs/2005.05890 (2020)
2010 – 2019
- 2019
- [j2]Wayne Isaac T. Uy, Mircea Grigoriu:
Specification of Additional Information for Solving Stochastic Inverse Problems. SIAM J. Sci. Comput. 41(5): A2880-A2910 (2019) - 2017
- [j1]Hang Yu, Wayne Isaac T. Uy, Justin Dauwels:
Modeling Spatial Extremes via Ensemble-of-Trees of Pairwise Copulas. IEEE Trans. Signal Process. 65(3): 571-586 (2017) - 2014
- [c3]Hang Yu, Wayne Isaac T. Uy, Justin Dauwels:
Modeling spatial extremes via ensemble-of-trees of pairwise copulas. ICASSP 2014: 2415-2419 - 2012
- [c2]Hang Yu, Justin Dauwels, Xu Zhang, Shiyan Xu, Wayne Isaac T. Uy:
Copula Gaussian multiscale graphical models with application to geophysical modeling. FUSION 2012: 1741-1748 - [c1]Hang Yu, Zheng Choo, Wayne Isaac T. Uy, Justin Dauwels, Philip Jonathan:
Modeling extreme events in spatial domain by copula graphical models. FUSION 2012: 1761-1768
Coauthor Index
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