9 citations · 39 across the 7 of their papers we have counts for
7 papers
SFi-Former: Sparse Flow Induced Attention for Graph Transformer
Zhonghao Li, Ji Shi, Xinming Zhang +2
Graph Transformers (GTs) have demonstrated superior performance compared to traditional message-passing graph neural networks in many studies, especially in processing graph data w…
Spectral signatures of the Markovian to Non-Markovian transition in open quantum systems
Zeng-Zhao Li, Chi-Hang Lam, Cho-Tung Yip +1
We present a new approach for investigating the Markovian to non-Markovian transition in quantum aggregates strongly coupled to a vibrational bath through the analysis of linear ab…
Infection-induced Cascading Failures -- Impact and Mitigation
Bo Li, David Saad
In the context of epidemic spreading, many intricate dynamical patterns can emerge due to the cooperation of different types of pathogens or the interaction between the disease spr…
Space of Functions Computed by Deep-Layered Machines
Alexander Mozeika, Bo Li, David Saad
We study the space of functions computed by random-layered machines, including deep neural networks and Boolean circuits. Investigating the distribution of Boolean functions comput…
Reducing urban traffic congestion due to localized routing decisions
Bo Li, David Saad, Andrey Y. Lokhov
Balancing traffic flow by influencing drivers' route choices to alleviate congestion is becoming increasingly more appealing in urban traffic planning. Here, we introduce a discret…
Large Deviation Analysis of Function Sensitivity in Random Deep Neural Networks
Bo Li, David Saad
Mean field theory has been successfully used to analyze deep neural networks (DNN) in the infinite size limit. Given the finite size of realistic DNN, we utilize the large deviatio…