4 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Learn Like The Pro: Norms from Theory to Size Neural Computation
Margaret Trautner, Ziwei Li, Sai Ravela
The optimal design of neural networks is a critical problem in many applications. Here, we investigate how dynamical systems with polynomial nonlinearities can inform the design of…
cs.LG2020★ 4 cited
Informative Neural Ensemble Kalman Learning
Margaret Trautner, Gabriel Margolis, Sai Ravela
In stochastic systems, informative approaches select key measurement or decision variables that maximize information gain to enhance the efficacy of model-related inferences. Neura…
cs.LG2019★ 4 cited
Neural Integration of Continuous Dynamics
Margaret Trautner, Sai Ravela
Neural dynamical systems are dynamical systems that are described at least in part by neural networks. The class of continuous-time neural dynamical systems must, however, be numer…