81 citations
- Max Planck SocietyDE17 papers
- Otto-von-Guericke-Universität MagdeburgDE3 papers
- Rice UniversityUS3 papers
- Baylor College of MedicineUS1 paper
- Brandenburg University of Technology Cottbus-SenftenbergDE1 paper
- Courant Institute of Mathematical SciencesUS1 paper
- Czech Technical University in PragueCZ1 paper
- Duke UniversityUS1 paper
- New York UniversityUS1 paper
- Office National d'Études et de Recherches AérospatialesFR1 paper
- Rutgers, The State University of New JerseyUS1 paper
- RWTH Aachen UniversityDE1 paper
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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…
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…