Publications
Pathiraja, S. (2023): L2 convergence of smooth approximations of Stochastic Differential Equations with unbounded coefficients. Stochastic Analysis and Applications, published online doi: 0.1080/07362994.2023.2260863
Coghi, M., Torstein, N., Nuesken, N., and Reich, S. (2023). Rough McKean-Vlasov dynamics for robust ensemble Kalman filtering, The Annals of Applied Probability, Volume 33, 5693-5752 doi:DOI: 10.1214/23-AAP1957, arXiv:2107.06621
Boege, T., Fritze, R., Görgen, C., Hanselman, J., Iglezakis, D., Kastner, L., Koprucki, T., Krause, T. H., Lehrenfeld, C., Polla, S., Reidelbach, M., Riedel, C., Saak, J., Schembera, B., Tabelow, K., & Weber, M. (2023). Research-data management planning in the German mathematical community. European Mathematical Society Magazine. https://doi.org/10.4171/mag/152
M.A. Freitag, J.M. Nicolaus, M. Redmann (2023). Model order reduction methods applied to neural network training. Proceedings in Applied Mathematics and Mechanics, e202300078. https://doi.org/10.1002/pamm.202300078
M.A. Freitag, P.Kriz, T. Mach, J. M. Nicolaus (2023). Can one hear the depth of the water? Proceedings in Applied Mathematics and Mechanics, e202300122. https://doi.org/10.1002/pamm.202300122
König, J., Freitag, M.A. (2023). Time-Limited Balanced Truncation for Data Assimilation Problems. Journal of Scientific Computing, Volume 97, Number 47 <doi: 10.1007/s10915-023-02358-4>
J. König & M.A. Freitag (2023). Time-limited Balanced Truncation within Incremental Four-Dimensional Variational Data Assimilation. Proceedings in Applied Mathematics and Mechanics, e202300019. https://doi.org/10.1002/pamm.202300019
Reich, S. (2024): Data Assimilation: A Dynamic Homotopy-Based Coupling Approach. In: Chapron, B., Crisan, D., Holm, D., Mémin, E., Radomska, A. (eds) Stochastic Transport in Upper Ocean Dynamics II. STUOD 2022. Mathematics of Planet Earth, vol 11. Springer, Cham. doi: 10.1007/978-3-031-40094-0_12
Kim, J. W. and Mehta, P. G. (2023): Duality for Nonlinear Filtering II: Optimal Control. IEEE Transactions on Automatic Control, doi: 10.1109/TAC.2023.3279208
Kim, J. W. and Mehta, P. G. (2023): Duality for Nonlinear Filtering I: Observability. IEEE Transactions on Automatic Control, doi: 10.1109/TAC.2023.3279206
Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie and T J Sullivan (2021). Gamma-convergence of Onsager–Machlup functionals: II. convergence of Onsager–Machlup functionals: II. Infinite product measures on Banach spaces. Inverse Problems, Volume 38, Number 2, doi:10.1088/1361-6420/ac3f82.
M. Redmann, M.A. Freitag (2021). Optimization based model order reduction for stochastic systems. Appl. Math. Comput., 398.
H. C. Lie, M. Stahn, T.J. Sullivan (2022). Randomised one-step time integration methods for deterministic operator differential equations. Calcolo, Volume 59, Number 13 doi:10.1007/s10092-022-00457-6.
M.A. Freitag, S. Reich (2022). Datenassimilation: Die nahtlose Verschmelzung von Daten und Modellen. Mitteilungen der Deutschen Mathematiker-VereinigungVerlag, De GruyterSeiten, 108‒112, Band 30.
Dietrich, F., Makeev, A., Kevrekidis, G., Evangelou, N., Bertalan, T., Reich, S., and Kevrekidis, I.G. (2023). Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learningChaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 33, 023121 doi: 10.1063/5.0113632 arXiv:2106.09004
Yadav, H., Smith, G., Reich, S., and Vasishth, S. (2023). Number feature distortion modulates cue-based retrieval in reading. Journal of Memory and Language, Vol. 129, 104400 <doi: 10.1016/j.jml.2022.104400> <doi: 10.31234/osf.io/s4c9t>