Search results

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

Aumann, Q.; Werner, S. W. R.: Adaptive Choice of Near-Optimal Expansion Points for Interpolation-Based Structure-Preserving Model Reduction. (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)

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)

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

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

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

Berger, T.; Nüske, F.: Funnel Control for Langevin Dynamics. (2022)

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)

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

Sarna, N.; Benner, P.: Learning Reduced Order Models from Data for Hyperbolic PDEs. (2021)

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

Zhang, Q.; Gosea, I. V.; Antoulas, A. C.: Factorization of the Loewner matrix pencil and its consequences. (2021)

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

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.: Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. (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)