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Preprint (90)

2025
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Savchenko, M.; Skrypnik, I.; Yevgenieva, Y.: On the Continuity of Solutions to the Anisotropic N-Laplacian with L1 Lower Order Term. (2025)
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Sun, S.; Feng, L.; Benner, P.: Interpretable Spatial-Temporal Fusion Transformers: Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs. (2025)
2024
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Averkov, G.; Peters, B.; Sager, S.: Sparse convex relaxations in polynomial optimization. (2024)
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Banga, J. R.; Sager, S.: Generalized Inverse Optimal Control and its Application in Biology. (2024)
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Baran, B.; Benner, P.; Saak, J.; Stillfjord, T.: Numerical Methods for Closed-Loop Systems with Non-Autonomous Data. (2024)
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Carson, E.; Chen, X.; Liu, X.: Computing k-means in mixed precision. (2024)
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Carson, E.; Lund, K.; Ma, Y.; Oktay, E.: On the Loss of Orthogonality in Low-Synchronization Variants of Reorthogonalized Block Classical Gram-Schmidt. (2024)
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Chellappa, S.; Feng, L.; Benner, P.: Discrete Empirical Interpolation in the Tensor t-Product Framework. (2024)
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Chellappa, S.; Feng, L.; Benner, P.: Discrete Empirical Interpolation in the Tensor t-Product Framework. (2024)
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Forootani, A.; Benner, P.: GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations. (2024)
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Forootani, A.; Kapadia, H.; Chellappa, S.; Goyal, P. K.; Benner, P.: GS-PINN: Greedy Sampling for Parameter Estimation in Partial Differential Equations. (2024)
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Heiland, J.; Kim, Y.; Werner, S. W. R.: Deep Polytopic Autoencoders for Low-Dimensional Linear Parameter-Varying Approximations and Nonlinear Feedback Design. (2024)
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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)
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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)
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Khorrami, M. S.; Goyal, P. K.; Mianroodi, J. R.; Svendsen, B.; Benner, P.; Raabe, D.: Divergence-free Neural Operators for Stress Field Modeling in Polycrystalline Materials. (2024)
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Mlinarić, P.; Benner, P.; Gugercin, S.: Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems. (2024)
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Nateghi, V.; Nüske, F.: Kinetically Consistent Coarse Graining using Kernel-based Extended Dynamic Mode Decomposition. (2024)
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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)
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Pelling, A. J. R.; Cherifi, K.; Gosea, I. V.; Sarradj, E.: Snapshot-driven Rational Interpolation of Parametric Systems. (2024)
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Philipp, F. M.; Schaller, M.; Boshoff, S.; Peitz, S.; Nüske, F.; Worthmann, K.: Extended Dynamic Mode Decomposition: Sharp bounds on the sample efficiency. (2024)
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