Energy-based Hopfield Boosting for Out-of-Distribution Detection

1 code implementation • 14 May 2024 • Claus Hofmann, Simon Schmid, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter

Out-of-distribution (OOD) detection is critical when deploying machine learning models in the real world.

Out-of-Distribution Detection Out of Distribution (OOD) Detection

Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators

1 code implementation • 19 Feb 2024 • Benedikt Alkin, Andreas Fürst, Simon Schmid, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter

This is of special interest since, akin to their numerical counterparts, different techniques are used across applications, even if the underlying dynamics of the systems are similar.