7 citations · 14 across the 4 of their papers we have counts for
4 papers
Motif distribution and function of sparse deep neural networks
Olivia T. Zahn, Thomas L. Daniel, J. Nathan Kutz
We characterize the connectivity structure of feed-forward, deep neural networks (DNNs) using network motif theory. To address whether a particular motif distribution is characteri…
Sensing with shallow recurrent decoder networks
Jan P. Williams, Olivia Zahn, J. Nathan Kutz
Sensing is a universal task in science and engineering. Downstream tasks from sensing include inferring full state estimates of a system (system identification), control decisions,…
Data-driven sensor placement with shallow decoder networks
Jan Williams, Olivia Zahn, J. Nathan Kutz
Sensor placement is an important and ubiquitous problem across the engineering and physical sciences for tasks such as reconstruction, forecasting and control. Surprisingly, there…
Pruning deep neural networks generates a sparse, bio-inspired nonlinear controller for insect flight
Olivia Zahn, Jorge Bustamante, Callin Switzer +2
Insect flight is a strongly nonlinear and actuated dynamical system. As such, strategies for understanding its control have typically relied on either model-based methods or linear…