Lars Kühmichel

According to our database, Lars Kühmichel authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

BayesFlow 2.0: Multi-Backend Amortized Bayesian Inference in Python.

Lars Kühmichel, Jerry M. Huang, Valentin Pratz, Jonas Arruda, Hans Olischläger, Daniel Habermann, Simon Kucharský, Lasse Elsemüller, Aayush Mishra, Niels Bracher, Svenja Jedhoff, Marvin Schmitt, Paul-Christian Bürkner, Stefan T. Radev

CoRR, February, 2026

2025

JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference.

Niels Bracher, Lars Kühmichel, Desi R. Ivanova, Xavier Intes, Paul-Christian Bürkner, Stefan T. Radev

CoRR, December, 2025

Stable Single-Pixel Contrastive Learning for Semantic and Geometric Tasks.

Leonid Pogorelyuk, Niels Bracher, Aaron Verkleeren, Lars Kühmichel, Stefan T. Radev

CoRR, December, 2025

2024

Amortized Bayesian Multilevel Models.

Daniel Habermann, Marvin Schmitt, Lars Kühmichel, Andreas Bulling, Stefan T. Radev, Paul-Christian Bürkner

CoRR, 2024

2023

Towards Context-Aware Domain Generalization: Representing Environments with Permutation-Invariant Networks.

Jens Müller, Lars Kühmichel, Martin Rohbeck, Stefan T. Radev, Ullrich Köthe

CoRR, 2023

On the Convergence Rate of Gaussianization with Random Rotations.

Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnörr, Ullrich Köthe

Proceedings of the International Conference on Machine Learning, 2023