Solving two-parameter eigenvalue problems using an alternating method. - Henrik Eisenmann; Yuji Nakatsukasa (CoRR, 2020)

Existence of dynamical low-rank approximations to parabolic problems. - Markus Bachmayr; Henrik Eisenmann; Emil Kieri; André Uschmajew (Math. Comput., 2021)

Riemannian thresholding methods for row-sparse and low-rank matrix recovery. - Henrik Eisenmann; Felix Krahmer; Max Pfeffer; André Uschmajew (Numer. Algorithms, 2023)

A Newton method for solving locally definite multiparameter eigenvalue problems by multiindex. - Henrik Eisenmann (CoRR, 2024)

A Newton Method for Solving Locally Definite Multiparameter Eigenvalue Problems by Multi-index. - Henrik Eisenmann (SIAM J. Matrix Anal. Appl., 2025)

A Convergent Adaptive Finite Element Stochastic Galerkin Method Based on Multilevel Expansions of Random Fields. - Markus Bachmayr; Martin Eigel; Henrik Eisenmann; Igor Voulis (SIAM J. Numer. Anal., 2025)

Adaptive stochastic Galerkin finite element methods: Optimality and non-affine coefficients. - Markus Bachmayr; Henrik Eisenmann; Igor Voulis (CoRR, 2025)

Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations. - Markus Bachmayr; Henrik Eisenmann; André Uschmajew (Numerische Mathematik, 2025)