Julius Kobialka

PhD student, Department of Statistics, Ludwig-Maximilians-Universität München

Joined

September 2024

Names

Julius Kobialka (Preferred)

Emails

****@stat.uni-muenchen.de (Confirmed)

,

****@gmail.com (Confirmed)

Personal Links

Career & Education History

PhD student

Department of Statistics, Ludwig-Maximilians-Universität München (lmu.de)

2024 – Present

Advisors, Relations & Conflicts

PhD Advisor

2024 – Present

Coworker

Rickmer Schulte

2024 – Present

Coworker

2024 – Present

Expertise

No areas of expertise listed

Publications

On the Interplay of Priors and Overparametrization in Bayesian Neural Network Posteriors
Julius Kobialka, Emanuel Sommer, Chris Kolb, Juntae Kwon, Daniel Dold, David Rügamer
- AISTATS 2026 Spotlight
- Readers: Everyone
Paths and Ambient Spaces in Neural Loss Landscapes
Daniel Dold, Julius Kobialka, Nicolai Palm, Emanuel Sommer, David Rügamer, Oliver Dürr
- CoRR 2025
- Readers: Everyone
Approximate Posteriors in Neural Networks: A Sampling Perspective
Julius Kobialka, Emanuel Sommer, Juntae Kwon, Daniel Dold, David Rügamer
- AABI 2025 Workshop Track
- Readers: Everyone
Approximate Posteriors in Neural Networks: A Sampling Perspective
Julius Kobialka, Emanuel Sommer, Juntae Kwon, Daniel Dold, David Rügamer
- FPI-ICLR2025 Oral
- Readers: Everyone
Paths and Ambient Spaces in Neural Loss Landscapes
Daniel Dold, Julius Kobialka, Nicolai Palm, Emanuel Sommer, David Rügamer, Oliver Dürr
- AISTATS 2025 Poster
- Readers: Everyone
Interpretable Machine Learning for TabPFN
David Rundel, Julius Kobialka, Constantin von Crailsheim, Matthias Feurer, Thomas Nagler, David Rügamer
- xAI (2) 2024
- Readers: Everyone

Co-Authors