43 citations · 74 across the 16 of their papers we have counts for
5 papers · 1 filter
Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels
Kangyu Weng, Aohua Cheng, Ziyang Zhang +2
In deep learning, neural networks serve as noisy channels between input data and its representation. This perspective naturally relates deep learning with the pursuit of constructi…
Bridging the information and dynamics attributes of neural activities
Yang Tian, Guoqi Li, Pei Sun
The brain works as a dynamic system to process information. Various challenges remain in understanding the connection between information and dynamics attributes in the brain. The…
Network comparison via encoding, decoding, and causality
Yang Tian, Hedong Hou, Guangzheng Xu +2
Quantifying the relations (e.g., similarity) between complex networks paves the way for studying the latent information shared across networks. However, fundamental relation metric…
A unified theory of information transfer and causal relation
Yang Tian, Hedong Hou, Yaoyuan Wang +2
Information transfer between coupled stochastic dynamics, measured by transfer entropy and information flow, is suggested as a physical process underlying the causal relation of sy…
Self-organized critical dynamics of RNA virus evolution
Xiaofei Ge, Kaichao You, Zeren Tan +3
RNA virus (e.g., SARS-CoV-2) evolves in a complex manner. Studying RNA virus evolution is vital for understanding molecular evolution and medicine development. Scientists lack, how…