1 citations · 1 across the 2 of their papers we have counts for
3 papers
math.OC2022★ 1 cited
Turnpike in optimal control of PDEs, ResNets, and beyond
Borjan Geshkovski, Enrique Zuazua
The \emph{turnpike property} in contemporary macroeconomics asserts that if an economic planner seeks to move an economy from one level of capital to another, then the most efficie…
math.OC2021
Optimal actuator design via Brunovsky's normal form
Borjan Geshkovski, Enrique Zuazua
In this paper, by using the Brunovsky normal form, we provide a reformulation of the problem consisting in finding the actuator design which minimizes the controllability cost for…
math.OC2020
Large-time asymptotics in deep learning
Carlos Esteve, Borjan Geshkovski, Dario Pighin +1
We consider the neural ODE perspective of supervised learning and study the impact of the final time (which may indicate the depth of a corresponding ResNet) in training. For t…