Daniel Dold

According to our database, Daniel Dold authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

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

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

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Bayesian Semi-structured Subspace Inference.

Daniel Dold, David Rügamer, Beate Sick, Oliver Dürr

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model.

Patrick Hoher, Johannes Reuter, Daniel Dold, Dennis Grießer, Felix Govaers, Wolfgang Koch

Proceedings of the 26th International Conference on Information Fusion, 2023

2022

Bernstein Flows for Flexible Posteriors in Variational Bayes.

Oliver Dürr, Stephan Hörling, Daniel Dold, Ivonne Kovylov, Beate Sick

CoRR, 2022

Targetless Lidar-camera registration using patch-wise mutual information.

Matthias Hermann, Dennis Grießer, Bernhard Gundel, Daniel Dold, Georg Umlauf, Matthias O. Franz

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

Transformation Models for Flexible Posteriors in Variational Bayes.

Sefan Hörtling, Daniel Dold, Oliver Dürr, Beate Sick

CoRR, 2021