Julius Kobialka

According to our database, Julius Kobialka authored at least 4 papers between 2024 and 2026.

Collaborative distances:

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

2026

Towards E-Value Based Stopping Rules for Bayesian Deep Ensembles.

Emanuel Sommer, Rickmer Schulte, Sarah Deubner, Julius Kobialka, David Rügamer

CoRR, April, 2026

On the Interplay of Priors and Overparametrization in Bayesian Neural Network Posteriors.

Julius Kobialka, Emanuel Sommer, Chris Kolb, Juntae Kwon, Daniel Dold, David Rügamer

CoRR, March, 2026

2025

Paths and Ambient Spaces in Neural Loss Landscapes.

Daniel Dold, Julius Kobialka, Nicolai Palm, Emanuel Sommer, David Rügamer, Oliver Dürr

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Interpretable Machine Learning for TabPFN.

David Rundel, Julius Kobialka, Constantin von Crailsheim, Matthias Feurer, Thomas Nagler, David Rügamer

Proceedings of the Explainable Artificial Intelligence, 2024