Lasse Elsemüller

According to our database, Lasse Elsemüller authored at least 4 papers between 2023 and 2025.

Collaborative distances:

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

2025

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation.

Lasse Elsemüller, Valentin Pratz, Mischa von Krause, Andreas Voss, Paul-Christian Bürkner, Stefan T. Radev

CoRR, February, 2025

2024

Sensitivity-Aware Amortized Bayesian Inference.

Lasse Elsemüller, Hans Olischläger, Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev

Trans. Mach. Learn. Res., 2024

2023

BayesFlow: Amortized Bayesian Workflows With Neural Networks.

Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner

J. Open Source Softw., October, 2023

A Deep Learning Method for Comparing Bayesian Hierarchical Models.

Lasse Elsemüller, Martin Schnuerch, Paul-Christian Bürkner, Stefan T. Radev

CoRR, 2023