Sommer, Emanuel

5 publications

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

ICLRW 2025 Efficiently Warmstarting MCMC for BNNs David Rundel, Emanuel Sommer, Bernd Bischl, David Rügamer, Matthias Feurer

ICLR 2025 Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks Emanuel Sommer, Jakob Robnik, Giorgi Nozadze, Uros Seljak, David Rügamer

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

ICML 2024 Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou, Ludwig Bothmann, Bernd Bischl, David Rügamer