activity
20172020
collaborators

9 papers

math.OC2020

Robust synchronization of heterogeneous robot swarms on the sphere

Johan Markdahl, Daniele Proverbio, Jorge Goncalves

Synchronization on the sphere is important to certain control applications in swarm robotics. Of recent interest is the Lohe model, which generalizes the Kuramoto model from the ci…

q-bio.MN2019

A multifactorial evaluation framework for gene regulatory network reconstruction

Laurent Mombaerts, Atte Aalto, Johan Markdahl +1

In the past years, many computational methods have been developed to infer the structure of gene regulatory networks from time-series data. However, the applicability and accuracy…

q-bio.QM2019

Linear system identification from ensemble snapshot observations

Atte Aalto, Jorge Goncalves

Developments in transcriptomics techniques have caused a large demand in tailored computational methods for modelling gene expression dynamics from experimental data. Recently, so-…

math.OC2018

Continuous time Gaussian process dynamical models in gene regulatory network inference

Atte Aalto, Lauri Viitasaari, Pauliina Ilmonen +2

One of the focus areas of modern scientific research is to reveal mysteries related to genes and their interactions. The dynamic interactions between genes can be encoded into a ge…

math.OC2018

A Lifting method for analyzing distributed synchronization on the unit sphere

Johan Thunberg, Johan Markdahl, Florian Bernard +1

This paper introduces a new lifting method for analyzing convergence of continuous-time distributed synchronization/consensus systems on the unit sphere. Points on the d-dimensiona…

cs.CV2018

Synchronisation of Partial Multi-Matchings via Non-negative Factorisations

Florian Bernard, Johan Thunberg, Jorge Goncalves +1

In this work we study permutation synchronisation for the challenging case of partial permutations, which plays an important role for the problem of matching multiple objects (e.g.…