Lars H. Heyen

According to our database, Lars H. Heyen authored at least 4 papers between 2025 and 2026.

Collaborative distances:

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

2026

Sampling Parallelism for Fast and Efficient Bayesian Learning.

Asena Karolin Özdemir, Lars H. Heyen, Arvid Weyrauch, Achim Streit, Markus Götz, Charlotte Debus

CoRR, April, 2026

Bayesian Lottery Ticket Hypothesis.

Nicholas Kuhn, Arvid Weyrauch, Lars H. Heyen, Achim Streit, Markus Götz, Charlotte Debus

CoRR, February, 2026

torch_blue: A Flexible Python Package for Bayesian Neural Networks in PyTorch.

Arvid Weyrauch, Lars H. Heyen, Juan Pedro Gutiérrez H. Muriedas, Pei-Hsuan Hsia, Asena Karolin Özdemir, Achim Streit, Markus Götz, Charlotte Debus

J. Open Source Softw., January, 2026

2025

Jigsaw: Training Multi-Billion-Parameter AI Weather Models with Optimized Model Parallelism.

Deifilia Kieckhefen, Markus Götz, Lars H. Heyen, Achim Streit, Charlotte Debus

CoRR, July, 2025