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Reddig, C.; Goyal, P. K.; Pontes Duff, I.; Benner, P.: Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction. (2024)

Reiter, S.; Pontes Duff, I.; Gosea, I. V.; Gugercin, S.: H₂ Optimal Model Reduction of Linear Systems with Multiple Quadratic Outputs. (2024)

Schulze, J.; Saak, J.: An Extension of the Low-Rank Lyapunov ADI to Non-Zero Initial Values and its Applications. (2024)

Sun, S.; Feng, L.; Benner, P.: Data-Augmented Predictive Deep Neural Network: Enhancing the Extrapolation Capabilities of Non-Intrusive Surrogate Models. (2024)

Veluvali, P.; Heiland, J.; Benner, P.: MaRDIFlow: A CSE Workflow Framework for Abstracting Meta-Data from FAIR Computational Experiments. (2024)

Zuniga-Banuelos, F. J.; Lemke, G.; Hoffmann, M.; Reichl, U.; Rapp, E.: Immunoglobulin A Carries Sulfated N glycans Primarily at the Tailpiece Site – An Oxonium-Ion-Guided Approach for Site-Specific N glycan Identification. bioRxiv (2024)

Goyal, P. K.; Pontes Duff, I.; Benner, P.: Inference of Continuous Linear Systems from Data with Guaranteed Stability. (2023)

Goyal, P. K.; Pontes Duff, I.; Benner, P.: Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference. (2023)

Kour, K.; Dolgov, S.; Benner, P.; Stoll, M.; Pfeffer, M.: A Weighted Subspace Exponential Kernel for Support Tensor Machines. (2023)

Philipp, F.; Schaller, M.; Worthmann, K.; Peitz, S.; Nüske, F.: Error analysis of kernel EDMD for prediction and control in the Koopman framework. (2023)

Reiter, S.; Gosea, I. V.; Gugercin, S.: Generalizations of Data-Driven Balancing: What to Sample for Different Balancing-Based Reduced Models. (2023)

Sun, S.; Feng, L.; Chan, H. S.; Miličić, T.; Vidaković-Koch, T.; Benner, P.: Parametric Dynamic Mode Decomposition for Nonlinear Parametric Dynamical Systems. (2023)

Yildiz, S.; Goyal, P. K.; Benner, P.: Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems. (2023)

Zuniga-Banuelos, F. J.; Hoffmann, M.; Reichl, U.; Rapp, E.: New avenues for human blood plasma biomarker discovery via improved in-depth analysis of the low-abundant N glycoproteome. bioRxiv (2023)

Baran, B.; Benner, P.; Saak, J.: Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem. (2022)

Kergus, P.; Gosea, I. V.: Data-driven approximation and reduction from noisy data in matrix pencil frameworks. (2022)

Liang, B.; Mitchell, T.; Sun, J.: NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. (2022)

Ahmad, R.; Kleineberg, C.; Nasirimarekani , V.; Su , Y.-J.; Goli Pozveh , S.; Bae , A.; Sundmacher, K.; Bodenschatz, E.; Guido, I.; Vidaković-Koch, T. et al.; Gholami, A.: Light-powered reactivation of flagella and contraction of microtubules network: towards building an artificial cell. bioRxiv (2021)

Bissinger, T.; Wu, X.; Marichal-Gallardo, P.; Riedel, D.; Liu, X.; Genzel, Y.; Tan, W.; Reichl, U.: Integrated production of an influenza A vaccine candidate with MDCK suspension cells. Authorea Preprints (2021)

Goyal, P. K.; Benner, P.: LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. (2021)