Multilevel Minimization for Deep Residual Networks. - Lisa Gaedke-Merzhäuser; Alena Kopanicáková; Rolf Krause (CoRR, 2020)

Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling. - Lisa Gaedke-Merzhäuser; Elias Teixeira Krainski; Radim Janalík; Håvard Rue; Olaf Schenk (CoRR, 2023)

Parallelized integrated nested Laplace approximations for fast Bayesian inference. - Lisa Gaedke-Merzhäuser; Janet van Niekerk; Olaf Schenk; Håvard Rue (Stat. Comput., 2023)

Integrated Nested Laplace Approximations for Large-Scale Spatiotemporal Bayesian Modeling. - Lisa Gaedke-Merzhäuser; Elias Teixeira Krainski; Radim Janalík; Håvard Rue; Olaf Schenk (SIAM J. Sci. Comput., 2024)

Algorithm 1042: Sparse Precision Matrix Estimation with SQUIC. - Aryan Eftekhari; Lisa Gaedke-Merzhäuser; Dimosthenis Pasadakis; Matthias Bollhöfer; Simon Scheidegger; Olaf Schenk (ACM Trans. Math. Softw., 2024)

Serinv: A Scalable Library for the Selected Inversion of Block-Tridiagonal with Arrowhead Matrices. - Vincent Maillou; Lisa Gaedke-Merzhäuser; Alexandros Nikolaos Ziogas; Olaf Schenk; Mathieu Luisier (CoRR, 2025)

Accelerated Spatio-Temporal Bayesian Modeling for Multivariate Gaussian Processes. - Lisa Gaedke-Merzhäuser; Vincent Maillou; Fernando Rodriguez Avellaneda; Olaf Schenk; Mathieu Luisier; Paula Moraga; Alexandros Nikolaos Ziogas; Håvard Rue (CoRR, 2025)