61 citations · 66 across the 6 of their papers we have counts for
7 papers
Predicting Company Growth using Scaling Theory informed Machine Learning
Ruyi Tao, Veronica R. Cappelli, Kaiwei Liu +4
Predicting company growth is a critical yet challenging task because observed dynamics blend an underlying structural growth trend with volatile fluctuations. Here, we propose a Sc…
Dynamical Reversibility and A New Theory of Causal Emergence based on SVD
Jiang Zhang, Ruyi Tao, Keng Hou Leong +2
The theory of causal emergence (CE) with effective information (EI) posits that complex systems can exhibit CE, where macro-dynamics show stronger causal effects than micro-dynamic…
Neural Network Pruning by Gradient Descent
Zhang Zhang, Ruyi Tao, Jiang Zhang
The rapid increase in the parameters of deep learning models has led to significant costs, challenging computational efficiency and model interpretability. In this paper, we introd…
Data driven modeling for self-similar dynamics
Ruyi Tao, Ningning Tao, Yi-zhuang You +1
Multiscale modeling of complex systems is crucial for understanding their intricacies. Data-driven multiscale modeling has emerged as a promising approach to tackle challenges asso…
Completing Networks by Learning Local Connection Patterns
Zhang Zhang, Ruyi Tao, Yongzai Tao +2
Network completion is a harder problem than link prediction because it does not only try to infer missing links but also nodes. Different methods have been proposed to solve this p…
Scaling laws and a general theory for the growth of public companies
Jiang Zhang, Christopher P. Kempes, Marcus J. Hamilton +2
Publicly traded companies are fundamental units of contemporary economies and markets and are important mechanisms through which humans interact with their environments. Understand…
A General Deep Learning Framework for Network Reconstruction and Dynamics Learning
Zhang Zhang, Yi Zhao, Jing Liu +4
Many complex processes can be viewed as dynamical systems on networks. However, in real cases, only the performances of the system are known, the network structure and the dynamica…