20 citations · 92 across the 30 of their papers we have counts for
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cs.LG2021★ 6 cited
Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint
Pawan Goyal, Peter Benner
Measurement noise is an integral part while collecting data of a physical process. Thus, noise removal is a necessary step to draw conclusions from these data, and it often becomes…
eess.SY2021
A Greedy Data Collection Scheme For Linear Dynamical Systems
Karim Cherifi, Pawan Goyal, Peter Benner
Mathematical models are essential to analyze and understand the dynamics of complex systems. Recently, data-driven methodologies have got a lot of attention which is leveraged by a…
cs.LG2021★ 5 cited
LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes
Pawan Goyal, Peter Benner
Mathematical modeling is an essential step, for example, to analyze the transient behavior of a dynamical process and to perform engineering studies such as optimization and contro…