Pawan Goyal - RankMe

52 papers Journal 51Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the representation of energy-preserving quadratic operators with application to Operator Inference. Appl. Math. Lett. Leonidas Gkimisis, Igor Pontes Duff, Pawan Goyal, Peter Benner
2025	J	`jnl`	A robust sparse identification of nonlinear dynamics approach by combining neural networks and an integral form. Eng. Appl. Artif. Intell. Ali Forootani, Pawan Goyal, Peter Benner
2025	J	`jnl`	Approximate balanced truncation for linear structured systems based on greedy numerical integration. Autom. Celine Reddig, Igor Pontes Duff, Pawan Goyal, Peter Benner
2025	J	`jnl`	Deep learning for structure-preserving universal stable Koopman-inspired embeddings for nonlinear canonical Hamiltonian dynamics. Mach. Learn. Sci. Technol. Pawan Goyal, Süleyman Yildiz, Peter Benner
2025	J	`jnl`	On the representation of energy-preserving quadratic operators with application to Operator Inference. CoRR Leonidas Gkimisis, Igor Pontes Duff, Pawan Goyal, Peter Benner
2025	J	`jnl`	Structure-preserving learning for multi-symplectic PDEs. Adv. Model. Simul. Eng. Sci. Süleyman Yildiz, Pawan Goyal, Peter Benner
2024	J	`jnl`	Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction. CoRR Celine Reddig, Pawan Goyal, Igor Pontes Duff, Peter Benner
2024	J	`jnl`	Balanced truncation for quadratic-bilinear control systems. Adv. Comput. Math. Peter Benner, Pawan Goyal
2024	J	`jnl`	Divergence-free neural operators for stress field modeling in polycrystalline materials. CoRR Mohammad Khorrami, Pawan Goyal, Jaber Rezaei Mianroodi, Bob Svendsen, Peter Benner, Dierk Raabe
2024	J	`jnl`	Dominant subspaces of high-fidelity polynomial structured parametric dynamical systems and model reduction. Adv. Comput. Math. Pawan Goyal, Igor Pontes Duff, Peter Benner
2024	J	`jnl`	Learning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference. CoRR Ion Victor Gosea, Luisa Peterson, Pawan Goyal, Jens Bremer, Kai Sundmacher, Peter Benner
2024	J	`jnl`	Parameterized Interpolation of Passive Systems. SIAM J. Matrix Anal. Appl. Peter Benner, Pawan Goyal, Paul Van Dooren
2024	J	`jnl`	Rank-Minimizing and Structured Model Inference. SIAM J. Sci. Comput. Pawan Goyal, Benjamin Peherstorfer, Peter Benner
2024	J	`jnl`	Stability-Certified Learning of Control Systems with Quadratic Nonlinearities. CoRR Igor Pontes Duff, Pawan Goyal, Peter Benner
2024	J	`jnl`	Structure-preserving learning for multi-symplectic PDEs. CoRR Süleyman Yildiz, Pawan Goyal, Peter Benner
2023	J	`jnl`	A Robust SINDy Approach by Combining Neural Networks and an Integral Form. CoRR Ali Forootani, Pawan Goyal, Peter Benner
2023	J	`jnl`	Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems. CoRR Süleyman Yildiz, Pawan Goyal, Thomas Bendokat, Peter Benner
2023	J	`jnl`	Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics. CoRR Pawan Goyal, Süleyman Yildiz, Peter Benner
2023	J	`jnl`	Dominant Subspaces of High-Fidelity Nonlinear Structured Parametric Dynamical Systems and Model Reduction. CoRR Pawan Goyal, Igor Pontes Duff, Peter Benner
2023	J	`jnl`	Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference. CoRR Pawan Goyal, Igor Pontes Duff, Peter Benner
2023	J	`jnl`	Inference of Continuous Linear Systems from Data with Guaranteed Stability. CoRR Pawan Goyal, Igor Pontes Duff, Peter Benner
2023	J	`jnl`	Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems. CoRR Süleyman Yildiz, Pawan Goyal, Peter Benner
2023	J	`jnl`	Parameterized Interpolation of Passive Systems. CoRR Peter Benner, Pawan Goyal, Paul Van Dooren
2023	J	`jnl`	Rank-Minimizing and Structured Model Inference. CoRR Pawan Goyal, Benjamin Peherstorfer, Peter Benner
2022	J	`jnl`	Generalized Quadratic-Embeddings for Nonlinear Dynamics using Deep Learning. CoRR Pawan Goyal, Peter Benner
2022	J	`jnl`	Gramians, Energy Functionals, and Balanced Truncation for Linear Dynamical Systems With Quadratic Outputs. IEEE Trans. Autom. Control. Peter Benner, Pawan Goyal, Igor Pontes Duff
2022	J	`jnl`	Neural ODEs with Irregular and Noisy Data. CoRR Pawan Goyal, Peter Benner
2021	J	`jnl`	A Greedy Data Collection Scheme For Linear Dynamical Systems. CoRR Karim Cherifi, Pawan Goyal, Peter Benner
2021	J	`jnl`	Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach. CoRR Pawan Goyal, Peter Benner
2021	J	`jnl`	Interpolation-Based Model Order Reduction for Polynomial Systems. SIAM J. Sci. Comput. Peter Benner, Pawan Goyal
2021	J	`jnl`	LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. CoRR Pawan Goyal, Peter Benner
2021	J	`jnl`	Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. CoRR Pawan Goyal, Peter Benner
2021	J	`jnl`	Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. CoRR Pawan Goyal, Peter Benner
2021	J	`jnl`	Low-Dimensional Approximations of High-Dimensional Asset Price Models. SIAM J. Financial Math. Martin Redmann, Christian Bayer, Pawan Goyal
2020	J	`jnl`	A Non-Intrusive Method to Inferring Linear Port-Hamiltonian Realizations using Time-Domain Data. CoRR Karim Cherifi, Pawan Goyal, Peter Benner
2020	J	`jnl`	Data-Driven Learning of Reduced-order Dynamics for a Parametrized Shallow Water Equation. CoRR Süleyman Yildiz, Pawan Goyal, Peter Benner, Bülent Karasözen
2020	J	`jnl`	Identification of port-Hamiltonian systems from frequency response data. Syst. Control. Lett. Peter Benner, Pawan Goyal, Paul Van Dooren
2020	J	`jnl`	Low-Rank and Total Variation Regularization and Its Application to Image Recovery. CoRR Pawan Goyal, Hussam Al Daas, Peter Benner
2020	J	`jnl`	Low-dimensional approximations of high-dimensional asset price models. CoRR Martin Redmann, Christian Bayer, Pawan Goyal
2020	J	`jnl`	Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows. CoRR Peter Benner, Pawan Goyal, Jan Heiland, Igor Pontes Duff
2020	J	`jnl`	Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms. CoRR Peter Benner, Pawan Goyal, Boris Kramer, Benjamin Peherstorfer, Karen Willcox
2019	J	`jnl`	Balanced Truncation for a Special Class of Bilinear Descriptor Systems. IEEE Control. Syst. Lett. Igor Pontes Duff, Pawan Goyal, Peter Benner
2019	J	`jnl`	Data-Driven Identification of Rayleigh-Damped Second-Order Systems. CoRR Igor Pontes Duff, Pawan Goyal, Peter Benner
2019	J	`jnl`	Gramians, Energy Functionals and Balanced Truncation for Linear Dynamical Systems with Quadratic Outputs. CoRR Peter Benner, Pawan Goyal, Igor Pontes Duff
2019	J	`jnl`	Identification of Dominant Subspaces for Linear Structured Parametric Systems and Model Reduction. CoRR Peter Benner, Pawan Goyal, Igor Pontes Duff
2019	J	`jnl`	Identification of Port-Hamiltonian Systems from Frequency Response Data. CoRR Peter Benner, Pawan Goyal, Paul Van Dooren
2019	J	`jnl`	Time-limited H2-optimal model order reduction. Appl. Math. Comput. Pawan Goyal, Martin Redmann
2018	J	`jnl`	H SIAM J. Matrix Anal. Appl. Peter Benner, Pawan Goyal, Serkan Gugercin
2017	J	`jnl`	Krylov subspace-based model reduction for a class of bilinear descriptor systems. J. Comput. Appl. Math. Mian Ilyas Ahmad, Peter Benner, Pawan Goyal
2017	J	`jnl`	POD-DEIM for efficient reduction of a dynamic 2D catalytic reactor model. Comput. Chem. Eng. Jens Bremer, Pawan Goyal, Lihong Feng, Peter Benner, Kai Sundmacher
2016	J	`jnl`	Multipoint interpolation of Volterra series and H Syst. Control. Lett. Peter Benner, Pawan Goyal
2015	—	`conf`	Model reduction of quadratic-bilinear descriptor systems via Carleman bilinearization. ECC Pawan Goyal, Mian Ilyas Ahmad, Peter Benner