Transformation Models for Flexible Posteriors in Variational Bayes. - Sefan Hörtling; Daniel Dold; Oliver Dürr; Beate Sick (CoRR, 2021)

Targetless Lidar-camera registration using patch-wise mutual information. - Matthias Hermann; Dennis Grießer; Bernhard Gundel; Daniel Dold; Georg Umlauf; Matthias O. Franz (FUSION, 2022)

Bernstein Flows for Flexible Posteriors in Variational Bayes. - Oliver Dürr; Stephan Hörling; Daniel Dold; Ivonne Kovylov; Beate Sick (CoRR, 2022)

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 001 (FUSION, 2023)

Bayesian Semi-structured Subspace Inference. - Daniel Dold; David Rügamer; Beate Sick; Oliver Dürr (AISTATS, 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 (UAI, 2024)

Paths and Ambient Spaces in Neural Loss Landscapes. - Daniel Dold; Julius Kobialka; Nicolai Palm; Emanuel Sommer; David Rügamer; Oliver Dürr (AISTATS, 2025)