activity
20052025
most citedCausal Network Inference by Optimal Causation Entropy

222 citations · 1.8k across the 48 of their papers we have counts for

collaborators

48 papers

math-ph2025

On the eigenvalues of a central configuration

Alain Albouy, Jiexin Sun

The equations of the Newtonian -body problem have a matrix form, where an matrix depending on the masses and on the mutual distances appears as a factor. The eig…

cond-mat.stat-mech2025

Phase analysis of Ising machines and their implications on optimization

Shu Zhou, K. Y. Michael Wong, Juntao Wang +3

Ising machines, which are dynamical systems designed to operate in a parallel and iterative manner, have emerged as a new paradigm for solving combinatorial optimization problems.…

cs.AI2020

Data-Driven Learning of Boolean Networks and Functions by Optimal Causation Entropy Principle (BoCSE)

Jie Sun, Abd AlRahman AlMomani, Erik Bollt

Boolean functions and networks are commonly used in the modeling and analysis of complex biological systems, and this paradigm is highly relevant in other important areas in data s…

stat.ME2020

Interaction Networks from Discrete Event Data by Poisson Multivariate Mutual Information Estimation and Information Flow with Applications from Gene Expression Data

Jeremie Fish, Jie Sun, Erik Bollt

In this work, we introduce a new methodology for inferring the interaction structure of discrete valued time series which are Poisson distributed. While most related methods are pr…

eess.SP2019★ 53 cited

How Entropic Regression Beats the Outliers Problem in Nonlinear System Identification

Abd AlRahman R. AlMomani, Jie Sun, Erik Bollt

In this work, we developed a nonlinear System Identification (SID) method that we called Entropic Regression. Our method adopts an information-theoretic measure for the data-driven…

nlin.AO2019★ 8 cited

Synchronization of Network-Coupled Oscillators with Uncertain Dynamics

Per Sebastian Skardal, Dane Taylor, Jie Sun

Synchronization of network-coupled dynamical units is important to a variety of natural and engineered processes including circadian rhythms, cardiac function, neural processing, a…