843.

B. Rüdiger and P. Sundar, "Identification and existence of Boltzmann processes", 2024.

842.

K. Reiter, M. Schmidt and M. Stiglmayr, "The Line-Based Dial-a-Ride Problem", 2024.

841.

D. S. Santos, K. Klamroth, P. Martins and L. Paquete, "Solving the multiobejctive quasi-clique problem" , 2024.

840.

A. Bartel, M. Clemens, M. Guenther, B. Jacob and T. Reis, "Port-Hamiltonian Systems Modelling in Electrical Engineering", 2023.

839.

M. Bolten, O. T. Doganay, H. Gottschalk and K. Klamroth, "Non-convex shape optimization by dissipative Hamiltonian flows", 2023.

838.

C. Beck, A. Jentzen, K. Kleinberg and T. Kruse, "Nonlinear Monte Carlo methods with polynomial runtime for Bellman equations of discrete time high-dimensional stochastic optimal control problems", 2023.

837.

S. Albeverio, B. Ruediger and P. Sundar, "On the construction and identifcation of Boltzmann processes", 2023.

836.

H. Gernandt, F. Philipp, T. Preuster and M. Schaller,On the equivalence of geometric and descriptor representations of linear port-Hamiltonian systems, 2023.

835.

K. Kraus, K. Klamroth and M. Stiglmayr, "On the online path extension problem — Location and routing problems in board games", 2023.

834.

B. Farkas, B. Jacob, T. Reis and M. Schmitz, "Operator splitting based dynamic iteration for linear infinite-dimensional port-Hamiltonian systems", 2023.

833.

A. Frommer, M. Guenther, B. Liljegren-Sailer and N. Marheineke, "Operator splitting for port-Hamiltonian systems", 2023.

832.

A. Bartel, M. Diab, A. Frommer and M. Günther, "Operator splitting for semi-explicit differential-algebraic equations and port-Hamiltonian DAEs", 2023.

831.

F. Heldmann, S. Berkhahn, M. Ehrhardt and K. Klamroth, "PINN Training using Biobjective Optimization: The Trade-off between Data Loss and Residual Loss", 2023.

830.

B. Jacob and C. Totzeck, "Port-Hamiltonian structure of interacting particle systems and its mean-field limit", 2023.

829.

H. Asatryan, D. Gaul, H. Gottschalk, K. Klamroth and M. Stiglmayr, "Ridepooling and public bus services: A comparative case-study", 2023. https://arxiv.org/abs/2302.01709.

828.

J. Burghoff, M. Rottmann, J. Conta, S. Schoenen, A. Witte and H. Gottschalk, "ResBuilder: Automated Learning of Depth with Residual Structures", 2023.

827.

A. Tordeux and C. Totzeck, "Multi-scale description of pedestrian collective dynamics with port-Hamiltonian systems", 2023.

826.

V. Mandrekar and B. Ruediger, "Stability properties of mild solutions of SPDEs related to pseudo differential equations", 2023.

825.

P. Kuchling, B. Ruediger and B. Ugurcan, "Stability properties of some port-Hamiltonian SPDEs", 2023.

824.

M. Guenther, B. Jacob and C. Totzeck, "Structure-preserving identification of port-Hamiltonian systems -- a sensitivity-based approach", 2023.

823.

K. Kowol, S. Bracke and H. Gottschalk, "survAIval: Survival Analysis with the Eyes of AI", 2023.

822.

M. Schwonberg, J. Niemeijer, J. Termoehlen, J. P. Schaefer, N. M. Schmidt, H. Gottschalk and T. Fingscheidt, "Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving", 2023.

821.

K. Schäfers, M. Günther and A. Sandu, "Symplectic multirate generalized additive Runge-Kutta methods for Hamiltonian systems", 2023.

820.

M. Ehrhardt, T. Kruse and A. Tordeux, "The Collective Dynamics of a Stochastic Port-Hamiltonian Self-Driven Agent Model in One Dimension", 2023.

819.

R. Korbmacher, A. Nicolas, A. Tordeux and C. Totzeck, "Time-continuous microscopic pedestrian models: an overview", 2023.

818.

M. Abdellatif, P. Kuchling, B. Rüdiger and I. Ventura, "Wasserstein distance in terms of the Comonotonicity Copula", 2023.

817.

J. Burghoff, M. H. Monells and H. Gottschalk, "Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamics", 2023.

816.

M. Bolten, S. P. MacLachlan and M. E. Kilmer, "Multigrid preconditioning for regularized least-squares problems", 2023.

815.

O. T. Doganay, K. Klamroth, B. Lang, M. Stiglmayr and C. Totzeck, "Optimal control for port-Hamiltonian systems and a new perspective on dynamic network flow problems", 2023.

814.

O. T. Doganay, K. Klamroth, B. Lang, M. Stiglmayr and C. Totzeck, "Modeling Minimum Cost Network Flows With Port-Hamiltonian Systems", 2023.

813.

C. Schillings, C. Totzeck and P. Wacker, "Ensemble-based gradient inference for particle methods in optimization and sampling", 2023.

812.

O. T. Doganay, K. Klamroth, B. Lang, M. Stiglmayr and C. Totzeck, "A new perspective on dynamic network flow problems via port-Hamiltonian systems", 2023.

811.

A. Frommer and M. N. Khalil, "MG-MLMC++ as a Variance Reduction Method for Estimating the Trace of a Matrix Inverse", 2023.

810.

D. Könen and M. Stiglmayr, "An output-polynomial time algorithm to determine all supported efficient solutions for multi-objective integer network flow problems", 2023. https://arxiv.org/abs/2305.12867.

809.

A. Frommer, M. Rinelli and M. Schweitzer, "Analysis of stochastic probing methods for estimating the trace of functions of sparse symmetric matrices", 2023.

808.

S. Blauth, R. Pinnau, M. Andres and C. Totzeck, "Asymptotic analysis for optimal control of the Cattaneo model", Journal of Mathematical Analysis and Applications, vol. 527, no. 1, pp. 127375, Nov. 2023. Elsevier {BV} .

807.

M. Schwonberg, F. E. Bouazati, N. M. Schmidt and H. Gottschalk, "Augmentation-based Domain Generalization for Semantic Segmentation", 2023.

806.

J. Bauß and M. Stiglmayr, "Augmenting Bi-objective Branch and Bound by Scalarization-Based Information", 2023.

805.

F. Klass, A. Gabbana and A. Bartel, "Characteristic Boundary Condition for Thermal Lattice Boltzmann Methods", 2023.

804.

B. Jacob, L. Vorberg and C. Wyss, "Computing the Quadratic Numerical Range", 2023.

803.

A. Ali, J. Brannick, K. Kahl, O. A. Krzysik, J. B. Schroder and B. S. Southworth, "Constrained Local Approximate Ideal Restriction for Advection-Diffusion Problems", 2023.

802.

M. Guenther, B. Jacob and C. Totzeck, "Data-driven adjoint-based calibration of port-Hamiltonian systems in time domain", 2023.

801.

S. Uhlemeyer, J. Lienen, E. Huellermeier and H. Gottschalk, "Detecting Novelties with Empty Classes", 2023.

800.

J. Bauß, S. N. Parragh and M. Stiglmayr, "Adaptive Improvements of Multi-Objective Branch and Bound", submitted to EURO Journal on Computational Optimization, 2023.

799.

P. Krueger and H. Gottschalk, "Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group", 2023.

798.

M. Günther, L. Milliken, J. Geuter, G. Mastrapas, B. Wang and H. Xiao, "Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models", 2023.

797.

J. Glueck and J. Hoelz, "Eventual cone invariance revisited", 2023.

796.

H. Duan, W. Shen, X. Min, D. Tu, L. Teng, J. Wang and G. Zhai, "Masked Autoencoders as Image Processors", 2023.

795.

T. Riedlinger, M. Schubert, S. Penquitt, J. Kezmann, P. Colling, K. Kahl, L. Roese-Koerner, M. Arnold, U. Zimmermann and M. Rottmann, "LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds", 2023.

794.

G. Albi, F. Ferrarese and C. Totzeck, "Kinetic based optimization enhanced by genetic dynamics", 2023.