activity
20082023
most citedPseudo-likelihood methods for community detection in large sparse networks

260 citations · 879 across the 60 of their papers we have counts for

collaborators

66 papers

stat.ME2023★ 2 cited

Nested stochastic block model for simultaneously clustering networks and nodes

Nathaniel Josephs, Arash A. Amini, Marina Paez +1

We introduce the nested stochastic block model (NSBM) to cluster a collection of networks while simultaneously detecting communities within each network. NSBM has several appealing…

eess.SY2022

Learning Nonlinear Couplings in Network of Agents from a Single Sample Trajectory

Arash Amini, Qiyu Sun, Nader Motee

We consider a class of stochastic dynamical networks whose governing dynamics can be modeled using a coupling function. It is shown that the dynamics of such networks can generate…

physics.med-ph2022★ 1 cited

LapGM: A Multisequence MR Bias Correction and Normalization Model

Luciano Vinas, Arash A. Amini, Jade Fischer +1

A spatially regularized Gaussian mixture model, LapGM, is proposed for the bias field correction and magnetic resonance normalization problem. The proposed spatial regularizer give…

math.DS2022★ 1 cited

Carleman Linearization of Nonlinear Systems and Its Finite-Section Approximations

Arash Amini, Cong Zheng, Qiyu Sun +1

The Carleman linearization is one of the mainstream approaches to lift a finite-dimensional nonlinear dynamical system into an infinite-dimensional linear system with the promise o…

cs.LG2022

Target alignment in truncated kernel ridge regression

Arash A. Amini, Richard Baumgartner, Dai Feng

Kernel ridge regression (KRR) has recently attracted renewed interest due to its potential for explaining the transient effects, such as double descent, that emerge during neural n…

math.FA2022

Complex-Order Scale-Invariant Operators and Self-Similar Processes

Arash Amini, Julien Fageot, Michael Unser

Derivatives and integration operators are well-studied examples of linear operators that commute with scaling up to a fixed multiplicative factor; i.e., they are scale-invariant. F…