12 citations · 40 across the 22 of their papers we have counts for
4 papers · 1 filter
Neural ODEs with Irregular and Noisy Data
Pawan Goyal, Peter Benner
Measurement noise is an integral part while collecting data of a physical process. Thus, noise removal is necessary to draw conclusions from these data, and it often becomes essent…
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…
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…
Machine Learning for Material Characterization with an Application for Predicting Mechanical Properties
Anke Stoll, Peter Benner
Currently, the growth of material data from experiments and simulations is expanding beyond processable amounts. This makes the development of new data-driven methods for the disco…