Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems

Jiachen Guo; Xiaoyu Xie; Chanwook Park; Hantao Zhang; Matthew J. Politis; Gino Domel; Wing Kam Liu

2025 ICML ICML 2025

Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems

Abstract

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Authors

Jiachen Guo, Xiaoyu Xie, Chanwook Park, Hantao Zhang, Matthew J. Politis, Gino Domel, Wing Kam Liu

Topics

Artificial Intelligence > Core AI > Interpretability Machine Learning > Application Areas > Efficient Computing Deep Learning > Architectures > Neural Networks

Keywords

tensor decomposition interpolation parametric pde finite element method scalable interpretable

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