Skip to content

Author

Georg Maierhofer

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Oct 2026

Steered Not Stirred: Effective Reward Tilting using Surrogate Reward Mixing

Continuous-time generative models, from diffusion models, flow matching, and now flow maps, owe their practical value to high-fidelity generation and steerability. In many applications, a ground-truth latent ``oracle''reward $R^*$ is unavailable or expensive to evaluate, e.g., human judgments or experimental measuremen...

Alec Sargood, Olivia Gallup, Georg Maierhofer et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Mesh-Native Tokenisation: Retrofitting Foundation Models to Unstructured Data

Physics foundation models are an increasingly popular approach for building versatile emulators for spatiotemporal systems. They require tokenisation layers that lift physical field data into a latent representation suitable for dynamic processing. A typical choice for this layer is a convolutional encoder, which lifts...

Georg Maierhofer, M. Cranmer, Payel Mukhopadhyay · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.