most citedA Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling

8 citations · 8 across the 2 of their papers we have counts for

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cs.LG2026

WGFINNs: Weak formulation-based GENERIC formalism informed neural networks

Jun Sur Richard Park, Auroni Huque Hashim, Siu Wun Cheung +2

Data-driven discovery of governing equations from noisy observations remains a fundamental challenge in scientific machine learning. While GENERIC formalism informed neural network…

cs.LG2024

tLaSDI: Thermodynamics-informed latent space dynamics identification

Jun Sur Richard Park, Siu Wun Cheung, Youngsoo Choi +1

We propose a latent space dynamics identification method, namely tLaSDI, that embeds the first and second principles of thermodynamics. The latent variables are learned through an…