22 citations · 25 across the 8 of their papers we have counts for
9 papers
Open networks in discrete time: Passing vs blocking behavior
Amirhossein Nazerian, MAlbor Asllani, Melvyn Tyloo +1
This paper presents a unified framework for analyzing the input-output behavior of discrete time complex networks viewed as open systems. Importantly, we focus on systems that are…
Optimizing the Network Topology of a Linear Reservoir Computer
Sahand Tangerami, Nicholas A. Mecholsky, Francesco Sorrentino
Machine learning has become a fundamental approach for modeling, prediction, and control, enabling systems to learn from data and perform complex tasks. Reservoir computing is a ma…
RCUKF: Data-Driven Modeling Meets Bayesian Estimation
Kumar Anurag, Kasra Azizi, Francesco Sorrentino +1
Accurate modeling is crucial in many engineering and scientific applications, yet obtaining a reliable process model for complex systems is often challenging. To address this chall…
The Frequency Response of Networks as Open Systems
Amirhossein Nazerian, Malbor Asllani, Melvyn Tyloo +2
Many biological, technological, and social systems can be effectively described as networks of interacting subsystems. Typically, these networks are not isolated objects, but inter…
Symmetries of Living Systems: Symmetry Fibrations and Synchronization in Biological Networks
Hernan A. Makse, Paolo Boldi, Francesco Sorrentino +1
A symmetry is a `change without change'. As simple as it sounds, this concept is the fundamental cornerstone that unifies all branches of theoretical physics. Virtually all physica…
Extreme vulnerability to intruder attacks destabilizes network dynamics
Amirhossein Nazerian, Sahand Tangerami, Malbor Asllani +3
Consensus, synchronization, formation control, and power grid balance are examples of desirable dynamical states that arise in networks. Here we investigate how such states can be…