10 citations · 22 across the 3 of their papers we have counts for
3 papers
math.DS2014★ 7 cited
Compressed Sensing for Network Reconstruction
David Hayden, Young Hwan Chang, Jorge Goncalves +1
The problem of identifying sparse solutions for the link structure and dynamics of an unknown linear, time-invariant network is posed as finding sparse solutions x to Ax=b. If the…
eess.SY2013★ 5 cited
Network Reconstruction from Intrinsic Noise
David Hayden, Ye Yuan, Jorge Goncalves
This paper considers the problem of inferring an unknown network of dynamical systems driven by unknown, intrinsic, noise inputs. Equivalently we seek to identify direct causal dep…
math.DS2012★ 10 cited
Robust Network Reconstruction in Polynomial Time
David Hayden, Ye Yuan, Jorge Gonçalves
This paper presents an efficient algorithm for robust network reconstruction of Linear Time-Invariant (LTI) systems in the presence of noise, estimation errors and unmodelled nonli…