Suchergebnisse

Heiland, J.; Kim, Y.; Werner, S. W. R.: Deep Polytopic Autoencoders for Low-Dimensional Linear Parameter-Varying Approximations and Nonlinear Feedback Design. (2024)

Averkov, G.; Peters, B.; Sager, S.: Sparse convex relaxations in polynomial optimization. (2024)

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

Przybilla, J.; Pontes Duff, I.; Goyal, P. K.; Benner, P.: Balanced Truncation of Descriptor Systems with a Quadratic Output. (2024)

Baran, B.; Benner, P.; Saak, J.; Stillfjord, T.: Numerical Methods for Closed-Loop Systems with Non-Autonomous Data. (2024)

Philipp, F. M.; Schaller, M.; Boshoff, S.; Peitz, S.; Nüske, F.; Worthmann, K.: Extended Dynamic Mode Decomposition: Sharp bounds on the sample efficiency. (2024)

Mlinarić, P.; Benner, P.; Gugercin, S.: Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems. (2024)

Hellwig, P.; Dittrich, A.; Heyer, R.; Reichl, U.; Benndorf, D.: Detection, isolation and characterisation of phage-host complexes using BONCAT and click chemistry. bioRxiv (2024)

Karsten, C. B.; Buettner, F. F. R.; Cajic, S.; Nehlmeier, I.; Roshani, B.; Klippert, A.; Sauermann, U.; Stolte-Leeb, N.; Reichl, U.; Gerardy-Schahn, R. et al.; Rapp, E.; Stahl-Hennig, C.; Pöhlmann, S.: Macrophage- and CD4+ T cell-derived SIV differ in glycosylation, infectivity and neutralization sensitivity. bioRxiv (2024)

Naumann, C.; Kumar, T. S.; Vettermann, J.; Geist, A.; Saak, J.; Benner, P.; Ihlenfeldt, S.: Training of Artificial Neural Networks with Reduced-Order Models for the Prediction of Thermal Errors on Machine Tools. Research Square (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)

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

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

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

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

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