Multiscale Convergence of the Inverse Problem for Chemotaxis in the Bayesian Setting. - Kathrin Hellmuth; Christian Klingenberg; Qin Li 007; Min Tang 002 (Comput., 2021)

Numerical reconstruction of the kinetic chemotaxis kernel from macroscopic measurement, wellposedness and illposedness. - Kathrin Hellmuth; Christian Klingenberg; Qin Li 007; Min Tang 002 (CoRR, 2023)

Preserving positivity of Gauss-Newton Hessian through random sampling. - Kathrin Hellmuth; Christian Klingenberg; Qin Li 007 (CoRR, 2024)

Kinetic Chemotaxis Tumbling Kernel Determined from Macroscopic Quantities. - Kathrin Hellmuth; Christian Klingenberg; Qin Li 007; Min Tang 002 (SIAM J. Math. Anal., 2024)

Reconstructing the Kinetic Chemotaxis Kernel Using Macroscopic Data: Well-Posedness and Ill-Posedness. - Kathrin Hellmuth; Christian Klingenberg; Qin Li 007; Min Tang 002 (SIAM J. Appl. Math., 2025)