1. Data assimilation - the collaborative research centre SFB1294
  2. Open Science
  3. Publications

Publications

  • Abedi, E., Li, Z. and Schultz, T., (2026): Continuity equation on metric spaces via measure-valued derivations and BV-Wasserstein curves. arXiv preprint arXiv:2608.28586.

  • Young, J.M., Cordero-Encinar, P., Reich, S., Duncan, A., Akyildiz, O.D. (2026): Diffusion path samplers via sequential Monte CarloarXiv preprint arXiv:2601.21951

  • Reich, S. (2026) Ensemble Kalman–Bucy filtering for nonlinear model predictive control in: Numerical Analysis and Scientific Computing: an Anthology: Dedicated to the 50th Anniversary of the Woudschoten Conference, Springer Verlag, 309-325 arxiv:2503.12475

  • Haas, B., Shprits, Y.Y., Drozdov, A.Y., Wang, D., Roy, A., Stoll, K., Lyu, X, (2026): Explaining the “Missing Loss” Process in Earth's Magnetosphere. doi: doi.org/10.21203/rs.3.rs-11240727/v1

  • König, J., Lie, H. C. (2026): Posterior Error Bounds for Prior-Driven Balancing in Linear Gaussian Inverse Problems. SIAM Journal on Matrix Analysis and Applications, 47,4, doi: 10.1137/25M1833151.

  • Haas, B., Drozdov, A. Y., Jhawar, S. (2026): EL-PASO: An Open-Source Python Library for Processing and Standardizing Particle Measurements Taken in Space. ESS Open Archive (2026). https://doi.org/10.22541/essoar.15002644/v2

  • Alonso, S. and Beta, C., (2026): Mathematical and Computational Modeling of Amoeboid Cell Crawling. arXiv preprint arXiv:2603.15350.

  • Kato, Y., Albrecht, J., Moldenhawer, T., Grossmann, R. and Beta, C., (2026): Bayesian comparison of Langevin dynamics for cell motility from positional observation. arXiv preprint arXiv:2608.00846.

  • Ojeda, C., Sanchez, R. J., Huisinga, W., Hartung, N. (2026): Amortized In-Context Mixed Effect Transformer Models: A Zero-Shot Approach for Pharmacokinetics, The 29th International Conference on Artificial Intelligence and Statistics, https://openreview.net/forum?id=pdamyf7o8W

  • Redmann, M. (2026): Tree-based solution representations for quadratic bilinear systems and their consequences in model order reduction, arXiv:2607.07841

  • Rahmani, S. T.-E., Zöller, G., Hainzl, S., and Maleki Asayesh, B. (2026): SPDE-ETAS: Fast and accurate Bayesian inference for the spatio-temporal epidemic type aftershock sequence (ETAS) model , Seismica 5 (2). doi:10.26443/seismica.v5i2.2585

  • Zöller, G., and Hainzl, S. (2026): The 2025 Santorini earthquake sequence unveils the tail of the magnitude-frequency distribution, International Journal on Geomathematics, in press. doi:10.1007/s13137-026-00299-2

  • Gaudlitz, S. and Gökalp, H. M. (2026): Parameter Estimation in a Fully Coupled Partially Observed Ornstein–Uhlenbeck Process. arXiv: https://arxiv.org/abs/2606.30443

  • Rouyer, C., Ortner, R., and Auer, P. (2026): Understanding the Gaps in Satisficing Bandits. In: Proceedings
    of the 43rd International Conference on Machine Learning (ICML). 2026. URL: openreview.net/forum.

  • Carpentier, A., Rouyer, C., Tsybakov, A., and Akhavan, A. (2026): Sharp Optimal Algorithm for Derivative-Free Stochastic Convex Optimization in One Dimension. arXiv: 2607.12938 [math.OC]. URL:
    arxiv.org/abs/2607.12938

  • Hainzl, S., Dahm, T., and Tramelli, A. (2026): A deformation-driven earthquake interaction model for seismicity at Campi Flegrei, Communications Earth and Environment, Vol. 7, 244. doi:110.1038/s43247-026-03296-3

  • Maleki Asayesh, B., Hainzl, S., Tatar, M., Zöller, and M., Soltani Moghadam, S. (2026): Reservoir related seismicity changes around the Gotvand Dam (south west of Iran), Geophysical Journal International, Vol. 245 (1), ggag043. doi:10.1093/gji/ggag043

  • Opper, M. & Reich, S. (2026) Digital Twins: McKean-Pontryagin control for partially observed physical twinsarXiv:2510.00967, published online in Journal of Computational Physics 10.1016/j.jcp.2026.115075

  • Altmann, R., Cortes Garcia, I., Paakkunainen, E., Schulze, P., Schöps, S. (2026). Energy-based modeling for field–circuit coupling. Applied Mathematical Modelling, Volume 155. https://doi.org/10.1016/j.apm.2025.116688

  • Kinon, P. L., Morandin, R., Schulze, P. (2026). Discrete gradient methods for port-Hamiltonian differential-algebraic equations. Applied Numerical Mathematics, Volume 223. https://doi.org/10.1016/j.apnum.2025.12.006

  • Carere, G., Cheng Lie, H. (2026). Generalized Rank-Constrained Approximations of Hilbert–Schmidt Operators on Separable Hilbert Spaces and Applications. Numerical Functional Analysis and Optimization, Volume 47, Issue 7–10. doi.org/10.1080/01630563.2025.2598467

  • Carere, G. and Lie, H.C., 2026. Optimal low-rank posterior covariance approximation in linear Gaussian inverse problems on Hilbert spaces. SIAM/ASA Journal on Uncertainty Quantification, 14(4), pp.1366-1395.

  • Albrecht, J., Dautzenberg, L.S., Opper, M., Beta, C., Großmann, R. (2026): Likelihood-based heterogeneity inference reveals nonstationary effects in biohybrid cell-cargo transport. Physical Review Research, 8, 013106.

  • Fast, V., Datta, A., Park, J.,  Großmann, R., Pfeifer, V.,  Kim, Y., Lee, W., Lim, S., Beta, C. (2026): Swimming patterns of a multi-mode bacterial swimmer in fluid shear flow. Biophysical Journal, 125.

  • Albrecht, J., Opper, M., Großmann, R. (2026): A Likelihood Approach for Inference of Population Heterogeneity in Particle Ensembles with Second-Order Langevin Dynamics. Communications Physics, 9, 165.

  • Beier, S., Pfeifer, V., Datta, A., Großmann, R., Beta, C. (2026): Dual Chemotaxis Strategy of Bacteria in Porous Media: Run Time and Turn Angle Bias. Biophysical Journal 125.

  • Jiang, Z, Andreou, M, Reich, S, Chen, N (2026) A Continuous-Time Ensemble Kalman-Bucy Smoother for Causal Inference and Model Discovery arXiv preprint arXiv:2604.25157

  • Cordero-Encinar, P, Duncan, A.B., Reich, S. & Akyildiz, O.D. (2026) Sampling by averaging: A multiscale approach to score estimationarXiv 2508.15069 to appear in Advances in Neural Information Processing Systems 38 (NeurIPS 2025), 81139-81186.

  • Abedi, E., Bechtold, F., Rehmeier, M (2026): Non-uniqueness of nonlinear Markov processes in the sense of McKean associated with parabolic PDEs, https://doi.org/10.48550/arXiv.2604.25851

  • Martinez-Torres, C., Stannat, W. & Szalankiewicz, J. (2026): Nonlinear filtering and spatial asymptotic consistency for SPDEs observed via spatio-temporal point processes. Stoch PDE: Anal Comp . https://doi.org/10.1007/s40072-026-00418-y

  • König, J., Qian, E. and Freitag, M.A., (2026): Dimension and model reduction approaches for linear Bayesian inverse problems with rank-deficient prior covariances. Computational Science and Engineering.

  • Ojeda C., Hartung N., Huisinga W., Jahn T., Kavwele P. K., Klose M., Kumar P., Sánchez R. J., Faroughy D. A., (2026): Prior-fitted functional flow: In-context generative models for pharmacokinetics. arXiv preprint arXiv:2604.17670. proceedings.mlr.press/v337/ojeda26a.html

  • Pasemann, G. and Reiß, M., (2026): Information bounds for inference in stochastic evolution equations observed under noise. SIAM Journal on Mathematical Analysis, 58(2), pp.1485-1529.