Lisa Gaedke-Merzhäuser

According to our database, Lisa Gaedke-Merzhäuser authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

ADELIA: Automatic Differentiation for Efficient Laplace Inference Approximations.

Afif Boudaoud, Lisa Gaedke-Merzhäuser, Alexandros Nikolaos Ziogas, Vincent Maillou, Alexandru Calotoiu, Marcin Copik, Håvard Rue, Mathieu Luisier, Torsten Hoefler

CoRR, May, 2026

2025

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, March, 2025

Accelerated Spatio-Temporal Bayesian Modeling for Multivariate Gaussian Processes.

Lisa Gaedke-Merzhäuser, Vincent Maillou, Fernando Rodriguez Avellaneda, Olaf Schenk, Paula Moraga, Mathieu Luisier, Alexandros Nikolaos Ziogas, Håvard Rue

Proceedings of the International Conference for High Performance Computing, 2025

Parallel Selected Inversion of Block-Tridiagonal with Arrowhead Matrices.

Vincent Maillou, Lisa Gaedke-Merzhäuser, Alexandros Nikolaos Ziogas, Olaf Schenk, Mathieu Luisier

Proceedings of the IEEE International Conference on Cluster Computing, 2025

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., June, 2024

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

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 Spatial-Temporal Bayesian Modeling.

Lisa Gaedke-Merzhäuser, Elias Teixeira Krainski, Radim Janalík, Håvard Rue, Olaf Schenk

CoRR, 2023

2020

Multilevel Minimization for Deep Residual Networks.

Lisa Gaedke-Merzhäuser, Alena Kopanicáková, Rolf Krause

CoRR, 2020