3 papers
stat.ML2025
Compressibility Measures Complexity: Minimum Description Length Meets Singular Learning Theory
Einar Urdshals, Edmund Lau, Jesse Hoogland +2
We study neural network compressibility by using singular learning theory to extend the minimum description length (MDL) principle to singular models like neural networks. Through…
cs.LG2025
Structure Development in List-Sorting Transformers
Einar Urdshals, Jasmina Urdshals
We study how a one-layer attention-only transformer develops relevant structures while learning to sort lists of numbers. At the end of training, the model organizes its attention…
hep-ph2020
On dark atoms, massive dark photons and millicharged sub-components
Felix Kahlhoefer, Einar Urdshals
We present a simple model of two dark matter species with opposite millicharge that can form electrically neutral bound states via the exchange of a massive dark photon. If bound s…