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Savchenko, M. O.; Skrypnik, I. I.; Yevgenieva, Y.: A Note on the Weak Harnack Inequality for Unbounded Minimizers of Elliptic Functionals with Generalized Orlicz Growth. (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.; Bendokat, T.; Benner, P.: Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems. (2023)

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

Yongho, K.; Heiland, J.: Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations. (2023)

Zhang, J.; Heiland, J.; Benner, P.; Du, X.: Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems. (2023)

Zuyev, A.; Benner, P.: Iterative Approximations of Periodic Trajectories for Nonlinear Systems with Discontinuous Inputs. (2023)

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

Berger, T.; Nüske, F.: Funnel Control for Langevin Dynamics. (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. (2021)

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

Goyal, P. K.; Benner, P.: Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. (2021)

Goyal, P. K.; Benner, P.: Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)

Kawahara, R.; Chernykh, A.; Alagesan, K.; Bern, M.; Cao, W.; Chalkley, R. J.; Cheng, K.; Choo, M. S.; Edwards, N.; Goldman, R. et al.; Hoffmann, M.; Hu, Y.; Huang, Y.; Kim, J. Y.; Kletter, D.; Liquet-Weiland, B.; Liu, M.; Mechref, Y.; Meng, B.; Neelamegham, S.; Nguyen-Khuong, T.; Nilsson, J.; Pap, A.; Park, G. W.; Parker, B. L.; Pegg, C. L.; Penninger, J. M.; Phung, T. K.; Pioch, M.; Rapp, E.; Sakalli, E.; Sanda, M.; Schulz, B. L.; Scott, N. E.; Sofronov, G.; Stadlmann, J.; Vakhrushev, S. Y.; Woo, C. M.; Wu, H.-Y.; Yang, P.; Ying, W.; Zhang, H.; Zhang, Y.; Zhao, J.; Zaia, J.; Haslam, S. M.; Palmisano, G.; Yoo, J. S.; Larson, G.; Khoo, K.-H.; Medzihradszky , K. F.; Kolarich, D.; Packer, N. H.; Thaysen-Andersen, M.: Community Evaluation of Glycoproteomics Informatics Solutions Reveals High-Performance Search Strategies of Serum N- and O-Glycopeptide Data. (2021)

Kweyu, C. M.; Khoromskaia, V.; Khoromskij, B.; Stein, M.; Benner, P.: Solution Decomposition for the Nonlinear Poisson-Boltzmann Equation using the Range-Separated Tensor Format. (2021)

Pelz, L.; Rüdiger, D.; Alnaji, F. G.; Genzel, Y.; Brooke, C. B.; Kupke, S. Y.; Reichl, U.: Semi-continuous propagation of influenza A virus and its defective interfering particles: analyzing the dynamic competition to select candidates for antiviral therapy. (2021)

Prerna , A.; Bdeir, N.; Gärtner, S.; Reiter, S.; Pelz, L.; Felgenhauer, U.; Reichl, U.; Ludwig, S.; Weber, F.; Hoffmann, M. et al.; Winkler, M.; Pöhlmann , S.: Interferon induction and not replication interference mainly determines anti-influenza virus activity of defective interfering particles. (2021)

Przybilla, J.; Voigt, M.: Model Reduction of Parametric Differential-Algebraic Systems by Balanced Truncation. (2021)