Publications of Pawan Kumar Goyal

Preprint (14)

2024
Preprint
Przybilla, J., Pontes Duff, I., Goyal, P. K., & Benner, P. (in press)Balanced Truncation of Descriptor Systems with a Quadratic Output.
2023
Preprint
Forootani, A., Goyal, P. K., & Benner, P. (in press)A Robust SINDy Approach by Combining Neural Networks and an Integral Form.
Preprint
Goyal, P. K., Pontes Duff, I., & Benner, P. (in press)Inference of Continuous Linear Systems from Data with Guaranteed Stability.
Preprint
Goyal, P. K., Pontes Duff, I., & Benner, P. (in press)Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference.
Preprint
Goyal, P. K., Yildiz, S., & Benner, P. (in press)Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics.
Preprint
Yildiz, S., Goyal, P. K., & Benner, P. (in press)Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems.
2021
Preprint
Goyal, P. K. & Benner, P. (in press)LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes.
Preprint
Goyal, P. K. & Benner, P. (2021)Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta ConstraintThe Symbiosis of Deep Learning and Differential Equations Workshop at NeurIPS 2021, 9 pages.
Preprint
Goyal, P. K. & Benner, P. (in press)Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning.
2020
Preprint
Goyal, P. K., Daas, H. A., & Benner, P. (in press)Low-Rank and Total Variation Regularization and Its Application to Image Recovery.
2017
Preprint
Benner, P. & Goyal, P. K. (in press)Balanced Truncation Model Order Reduction For Quadratic-Bilinear Control Systems.
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