activity
20062015
most citedVariable-free exploration of stochastic models: a gene regulatory network example

52 citations · 110 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2015★ 7 cited

A bi-criteria path planning algorithm for robotics applications

Zachary Clawson, Xuchu Ding, Brendan Englot +3

Realistic path planning applications often require optimizing with respect to several criteria simultaneously. Here we introduce an efficient algorithm for bi-criteria path plannin…

eess.SY2011

Scalable Approach to Uncertainty Quantification and Robust Design of Interconnected Dynamical Systems

Andrzej Banaszuk, Vladimir A. Fonoberov, Thomas A. Frewen +8

Development of robust dynamical systems and networks such as autonomous aircraft systems capable of accomplishing complex missions faces challenges due to the dynamically evolving…

physics.chem-ph2008★ 15 cited

Exploration of Effective Potential Landscapes using Coarse Reverse Integration

Thomas A. Frewen, Gerhard Hummer, Ioannis G. Kevrekidis

We describe a reverse integration approach for the exploration of low-dimensional effective potential landscapes. Coarse reverse integration initialized on a ring of coarse states…

math.DS2006★ 36 cited

Coarse-grained dynamics of an activity bump in a neural field model

C. R. Laing, T. A. Frewen, I. G. Kevrekidis

We study a stochastic nonlocal PDE, arising in the context of modelling spatially distributed neural activity, which is capable of sustaining stationary and moving spatially-locali…

q-bio.QM2006★ 52 cited

Variable-free exploration of stochastic models: a gene regulatory network example

Radek Erban, Thomas A. Frewen, Xiao Wang +4

Finding coarse-grained, low-dimensional descriptions is an important task in the analysis of complex, stochastic models of gene regulatory networks. This task involves (a) identify…