David Rügamer

7

Papers

17

Total Citations

Papers (7)

Can Transformers Learn Full Bayesian Inference in Context?

Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks

Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

Generalizing Orthogonalization for Models with Non-Linearities

Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?

Position: Why We Must Rethink Empirical Research in Machine Learning

How To Make Your Cell Tracker Say "I dunno!"