Preprint (78)
2024
Preprint
An Extension of the Low-Rank Lyapunov ADI to Non-Zero Initial Values and its Applications. (2024)
Preprint
Data-Augmented Predictive Deep Neural Network: Enhancing the Extrapolation Capabilities of Non-Intrusive Surrogate Models. (2024)
Preprint
MaRDIFlow: A CSE Workflow Framework for Abstracting Meta-Data from FAIR Computational Experiments. (2024)
Preprint
Immunoglobulin A Carries Sulfated N glycans Primarily at the Tailpiece Site – An Oxonium-Ion-Guided Approach for Site-Specific N glycan Identification. bioRxiv (2024)
2023
Preprint
Inference of Continuous Linear Systems from Data with Guaranteed Stability. (2023)
Preprint
Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference. (2023)
Preprint
A Weighted Subspace Exponential Kernel for Support Tensor Machines. (2023)
Preprint
Error analysis of kernel EDMD for prediction and control in the Koopman framework. (2023)
Preprint
Generalizations of Data-Driven Balancing: What to Sample for Different Balancing-Based Reduced Models. (2023)
Preprint
Parametric Dynamic Mode Decomposition for Nonlinear Parametric Dynamical Systems. (2023)
Preprint
Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems. (2023)
Preprint
Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems. (2023)
Preprint
New avenues for human blood plasma biomarker discovery via improved in-depth analysis of the low-abundant N glycoproteome. bioRxiv (2023)
2022
Preprint
Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem. (2022)
Preprint
Data-driven approximation and reduction from noisy data in matrix pencil frameworks. (2022)
Preprint
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. (2022)
2021
Preprint
LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. (2021)
Preprint
Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. The Symbiosis of Deep Learning and Differential Equations Workshop at NeurIPS 2021, 9 pages (2021)
Preprint
Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)
Preprint
Interferon induction and not replication interference mainly determines anti-influenza virus activity of defective interfering particles. bioRxiv (2021)
Preprint
Learning Reduced Order Models from Data for Hyperbolic PDEs. (2021)
Preprint
Critical Assessment of Metaproteome Investigation (CAMPI): A Multi-Lab Comparison of Established Workflows. bioRxiv (2021)
Preprint
Factorization of the Loewner matrix pencil and its consequences. (2021)
2020
Preprint
Automatic Decoupling and Index-aware Model-Order Reduction for Nonlinear Differential-Algebraic Equations. (2020)
Preprint
Hyperbolic Discretization via Riemann Invariants. (2020)
Preprint
Model Reduction of Time-Dependent Hyperbolic Equations using Collocated Residual Minimisation and Shifted Snapshots. (2020)
2019
Preprint
A Koopman-based Framework for Forecasting the Spatiotemporal Evolution of Chaotic Dynamics with Nonlinearities Modeled as Exogenous Forcings. (2019)
Preprint
An Adaptive Pole-Matching Method for Interpolating Reduced-Order Models. (2019)
2018
Preprint
Data-driven Spatio-temporal Prediction of High-dimensional Geophysical Turbulence using Koopman Operator Approximation. (2018)
Preprint
A Comparison of Nonsmooth, Nonconvex, Constrained Optimization Solvers for the Design of Time-Delay Compensators. (2018)
Preprint
Residual Minimizing Shift Parameters for the Low-Rank ADI Iteration. (2018)
Preprint
Emergence of Directional Actomyosin Flows from Active Matter Vibrations. bioRxiv (2018)
2017
Preprint
Example Setups of Navier-Stokes Equations with Control and Observation: Spatial Discretization and Representation via Linear-quadratic Matrix Coefficients. (2017)
Preprint
Solving Optimal Control Problems governed by Random Navier-Stokes Equations using Low-Rank Methods. (2017)
Preprint
Approximation of a damped Euler-Bernoulli beam model in the Loewner framework. (2017)
Preprint
Case study: Approximations of the Bessel Function. (2017)
2016
Preprint
Finite-Frequency Model Order Reduction of Linear Systems via Parameterized Frequency-dependent Balanced Truncation. (2016)
Preprint
Combined Error Estimates for Local Fluctuations of SPDEs. (2016)