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Beyond scaleup: Knowledge‐aware parsimony learning from deep networks
The brute‐force scaleup of training datasets, learnable parameters and computation power,
has become a prevalent strategy for develo** more robust learning models. However, due …
has become a prevalent strategy for develo** more robust learning models. However, due …
Neural Symbolic Regression of Complex Network Dynamics
Complex networks describe important structures in nature and society, composed of nodes
and the edges that connect them. The evolution of these networks is typically described by …
and the edges that connect them. The evolution of these networks is typically described by …
Data driven discovery of human mobility models
Human mobility is a fundamental aspect of social behavior, with broad applications in
transportation, urban planning, and epidemic modeling. However, for decades new …
transportation, urban planning, and epidemic modeling. However, for decades new …
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression
J Hu, J Cui, B Yang - arxiv preprint arxiv:2411.06833, 2024 - arxiv.org
Discovering governing equations of complex network dynamics is a fundamental challenge
in contemporary science with rich data, which can uncover the mysterious patterns and …
in contemporary science with rich data, which can uncover the mysterious patterns and …