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cs.LG2025
A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
Yuchen Wang, Hongjue Zhao, Haohong Lin +3
This work aims to address the problem of long-term dynamic forecasting in complex environments where data are noisy and irregularly sampled. While recent studies have introduced so…
cs.LG2025
Fourier-enhanced Neural Networks For Systems Biology Applications
Enze Xu, Minghan Chen
In the field of systems biology, differential equations are commonly used to model biological systems, but solving them for large-scale and complex systems can be computationally e…
cs.LG2023★ 1 cited
Scalable Neural Symbolic Regression using Control Variables
Xieting Chu, Hongjue Zhao, Enze Xu +3
Symbolic regression (SR) is a powerful technique for discovering the analytical mathematical expression from data, finding various applications in natural sciences due to its good…