Publications

L. Gaedke-Merzhäuser, V. Maillou, FR Avellaneda, O. Schenk , M. Luisier, P. Moraga, AN Ziogas, H. Rue. “Accelerated Spatio-Temporal Bayesian Modeling for Multivariate Gaussian Processes.” InSC25: International Conference for High Performance Computing, Networking, Storage and Analysis (to appear). arxiv
V. Maillou, L. Gaedke-Merzhäuser, A. N. Ziogas, O. Schenk and M. Luisier, “Parallel Selected Inversion of Block-Tridiagonal with Arrowhead Matrices,” 2025 IEEE International Conference on Cluster Computing (CLUSTER), United Kingdom, 2025, pp. 1-12, 10.1109/CLUSTER59342.2025.11186484.
L. Gaedke-Merzhäuser, A. Kopaničáková, R. Krause, “Multilevel minimization for deep residual networks”. ESAIM: ProcS Volume 71, August 2021 doi.org/10.1051/proc/202171131

L. Gaedke-Merzhäuser, Krainski, R. Janalik, H. Rue, O. Schenk, “Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling”. SIAM Journal on Scientific Computing. 46(4):B448-73. August 2024 doi.org/10.1137/23M1561531
A. Eftekhari, L. Gaedke-Merzhäuser, D. Pasadakis, M. Bollhöfer, S. Scheidegger, O. Schenk. “Algorithm XXX: Sparse Precision Matrix Estimation With SQUIC.” ACM Transactions on Mathematical Software. March 2024 doi.org/10.1145/3650108
L. Gaedke-Merzhäuser, J. van Niekerk, O. Schenk, H. Rue, “Parallelized integrated nested Laplace approximations for fast Bayesian inference”. Statistics and Computing, 33(1), pp. 1-16, 2023 doi.org/10.1007/s11222-022-10192-1
M. Nestola, P. Zulian, L. Gaedke-Merzhäuser, R. Krause. “Fully coupled dynamic simulations of bioprosthetic aortic valves based on an embedded strategy for fluid–structure interaction with contact.” EP Europace 23, no. Supplement_1 (2021): i96-i104. doi.org/10.1093/europace/euaa398

V. Maillou, AN. Ziogas1, O. Schenk, M. Luisier, H. Rue, L. Gaedke-Merzhäuser. “DALIA: A Novel Framework to Perform Large Scale Bayesian Modeling.” May 2025, INLA Workshop, Glasgow, UK. Link (Best Poster Award)
C. Zurita, L. Gaedke-Merzhäuser, V. Maillou, O. Schenk. “GPU-Accelerated Matrix Decomposition and Selected Inversion for Banded Arrowhead Matrices.” PASC Poster 2025 link (Best Poster Award)
L. Gaedke-Merzhäuser, V. Maillou, AN Ziogas, M. Luisier, O. Schenk. “Fast and Scalable Algorithms for Selected Matrix Inversions” PASC Poster 2024, link (Best Poster Award)

L. Gaedke-Merzhäuser. “A high-performance computing approach to approximate Bayesian inference.” (2024). link