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

Publications

  • Gottwald, Georg A. & Reich, S. (2024). Localized Schrödinger bridge sampler arXiv:2409.07968

  • Albrecht, J., Opper, M., and Großmann, R. (2024): Inferring Parameter Distributions in Heterogeneous Motile Particle Ensembles: A Likelihood Approach for Second Order Langevin Models. arxiv:2411.08692

  • Datta, A., Beier, S., Pfeifer, V., Großmann, R., and Beta, C. (2024): Bacterial motility in porous media follows an active renewal process with power-law distributed dwell times. arxiv: 2408.02317

  • Carere, G. and Lie, H. C. (2024). Generalised rank-constrained approximations of Hilbert-Schmidt operators on separable Hilbert spaces and applications, arXiv 2408.05104

  • Carere, G. and Lie, H. C. (2024). Optimal low-rank approximations of posteriors for linear Gaussian inverse problems on Hilbert spaces, arXiv 2411.01112

  • Spokoiny, V. (2024). Estimation for SLS models: finite sample guarantees, arXiv:2404.14227

  • Lie, H. C. (2024): Bayesian inference of covariate-parameter relationships for population modelling. ArXiv 2407.09640

  • Tiepner, A. and Ziebell, E. (2024): Parameter estimation in hyperbolic linear SPDEs from multiple measurements. arXiv:2407.13461

  • Ziebell, E. (2024): Non-parametric estimation for the stochastic wave equation. arXiv:2404.18823

  • Datta, A., Beta, C. and Großmann, R. (2024): The random walk of intermittently self-propelled particles. arXiv:2406.15277 (2024)

  • Albrecht, J. and Reich, S. (2024): Robust parameter estimation for partially observed second-order diffusion processes. arXiv:2406.14738

  • Siobhán Correnty, Melina A. Freitag, Kirk M. Soodhalter (2023). Chebyshev HOPGD with sparse grid sampling for parameterized linear systems. arXiv:2309.14178

  • Kim, J. W. and Mehta, P. G. (2024): Arrow of Time in Estimation and Control: Duality Theory Beyond the Linear Gaussian Model. arXiv 2405.07650

  • Kim, J. W., Joshi, A. A., and Mehta, P. G. (2024): Backward Map for Filter Stability Analysis. arXiv 2405.01127

  • Kim, J. W., Taghvaei, A., and Mehta, P. G. (2024): Divergence metrics in the study of Markov and hidden Markov processes. arXiv 2404.15779

  • Cherepanov, V., and Ertel, S. W. (2024): Neural Networks-based Random Vortex Methods for Modelling Incompressible Flows. arXiv: 2405.13691

  • Tienstra, M. (2024). Early Stopping for Ensemble Kalman-Bucy Inversion. arXiv:2403.18353

  • Gottwald, G., Li, F., Marzouk, Y., Reich, S (2024). Stable generative modelling using diffusion maps. arXiv 2401.04372