Wayne Isaac Tan Uy

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes. CoRR Haoran Zhao, Wayne Isaac Tan Uy
2023	J	`jnl`	Active Operator Inference for Learning Low-Dimensional Dynamical-System Models from Noisy Data. SIAM J. Sci. Comput. Wayne Isaac Tan Uy, Yuepeng Wang, Yuxiao Wen, Benjamin Peherstorfer
2023	J	`jnl`	Lookahead data-gathering strategies for online adaptive model reduction of transport-dominated problems. CoRR Rodrigo Singh, Wayne Isaac Tan Uy, Benjamin Peherstorfer
2023	J	`jnl`	Operator inference with roll outs for learning reduced models from scarce and low-quality data. Comput. Math. Appl. Wayne Isaac Tan Uy, Dirk Hartmann, Benjamin Peherstorfer
2022	J	`jnl`	Operator inference with roll outs for learning reduced models from scarce and low-quality data. CoRR Wayne Isaac Tan Uy, Dirk Hartmann, Benjamin Peherstorfer
2022	J	`jnl`	Reduced models with nonlinear approximations of latent dynamics for model premixed flame problems. CoRR Wayne Isaac Tan Uy, Christopher R. Wentland, Cheng Huang, Benjamin Peherstorfer
2021	J	`jnl`	Active operator inference for learning low-dimensional dynamical-system models from noisy data. CoRR Wayne Isaac Tan Uy, Yuepeng Wang, Yuxiao Wen, Benjamin Peherstorfer
2021	J	`jnl`	Operator Inference of Non-Markovian Terms for Learning Reduced Models from Partially Observed State Trajectories. J. Sci. Comput. Wayne Isaac Tan Uy, Benjamin Peherstorfer
2021	J	`jnl`	Operator inference of non-Markovian terms for learning reduced models from partially observed state trajectories. CoRR Wayne Isaac Tan Uy, Benjamin Peherstorfer
2020	J	`jnl`	Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations. CoRR Wayne Isaac Tan Uy, Benjamin Peherstorfer
2020	J	`jnl`	Time evolution of the characteristic and probability density function of diffusion processes via neural networks. CoRR Wayne Isaac Tan Uy, Mircea Grigoriu

2023 — conf

Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

AISec

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz

2026 — preprint

CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.

arXiv

Matti Schulze, Thorsten Holz, Felix C. Freiling