Tim G. J. Rudner

4

Papers

14

Total Citations

Papers (4)

Can Transformers Learn Full Bayesian Inference in Context?

Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design

Non-Vacuous Generalization Bounds for Large Language Models

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