Dold, Daniel

4 publications

ICLRW 2025 Approximate Posteriors in Neural Networks: A Sampling Perspective Julius Kobialka, Emanuel Sommer, Juntae Kwon, Daniel Dold, David Rügamer

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

AISTATS 2024 Bayesian Semi-Structured Subspace Inference Daniel Dold, David Ruegamer, Beate Sick, Oliver Dürr

UAI 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 Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer