activity
20032026
most citedA network approach to topic models

260 citations · 3k across the 65 of their papers we have counts for

collaborators

66 papers

physics.data-an2026

Constrained surrogates for arbitrary families of continuous probability distributions

Jack Murdoch Moore, Eduardo G Altmann

Empirical regularities described by parametrized families of probability distributions can shape how complex systems are interpreted and explained. A recurring problem is to determ…

nlin.CD2026

Fractals in rate-induced tipping

Jason Qianchuan Wang, Yi Zheng, Eduardo G. Altmann

When parameters of a dynamical system change sufficiently fast, critical transitions can take place even in the absence of bifurcations. This phenomenon is known as rate-induced ti…

cond-mat.stat-mech2023★ 7 cited

Probabilistic description of dissipative chaotic scattering

Lachlan Burton, Holger Dullin, Eduardo G. Altmann

We investigate the extent to which the probabilistic properties of a chaotic scattering system with dissipation can be understood from the properties of the dissipation-free system…

cs.CL2023★ 6 cited

Quantifying the Dissimilarity of Texts

Benjamin Shade, Eduardo G. Altmann

Quantifying the dissimilarity of two texts is an important aspect of a number of natural language processing tasks, including semantic information retrieval, topic classification,…

physics.bio-ph2022★ 1 cited

Modelling daily weight variation in honey bee hives

Karina Arias-Calluari, Theotime Colin, Tanya Latty +2

A quantitative understanding of the dynamics of bee colonies is important to support global efforts to improve bee health and enhance pollination services. Traditional approaches f…

nlin.AO2022★ 7 cited

Non-parametric power-law surrogates

Jack Murdoch Moore, Gang Yan, Eduardo G. Altmann

Power-law distributions are essential in computational and statistical investigations of extreme events and complex systems. The usual technique to generate power-law distributed d…