Daniel Dold

PhD student, IOS, Fachhochschule Konstanz, Hochschule für Technik, Wirtschaft und Gestaltung

Joined

May 2023

Names

Daniel Dold (Preferred)

Emails

****@gmail.com (Confirmed)

,

****@htwg-konstanz.de (Confirmed)

Personal Links

Career & Education History

PhD student

IOS, Fachhochschule Konstanz, Hochschule für Technik, Wirtschaft und Gestaltung (fh-konstanz.de)

Present

Advisors, Relations & Conflicts

Coauthor

Julius Kobialka

2024 – Present

Coauthor

2024 – Present

PhD Advisor

2021 – Present

PhD Advisor

2020 – Present

Expertise

Bayesian Deep Learning

Present

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
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
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
Lucas Kook, Chris Kolb, Philipp Schiele, Daniel Dold, Marcel Arpogaus, Cornelius Fritz, Philipp F. M. Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer
- UAI 2024 poster
- Readers: Everyone

Co-Authors