1 citations · 1 across the 3 of their papers we have counts for
3 papers
Phase Transitions in the Output Distribution of Large Language Models
Julian Arnold, Flemming Holtorf, Frank Schäfer +1
In a physical system, changing parameters such as temperature can induce a phase transition: an abrupt change from one state of matter to another. Analogous phenomena have recently…
Machine learning phase transitions: Connections to the Fisher information
Julian Arnold, Niels Lörch, Flemming Holtorf +1
Despite the widespread use and success of machine-learning techniques for detecting phase transitions from data, their working principle and fundamental limits remain elusive. Here…
Fast Detection of Phase Transitions with Multi-Task Learning-by-Confusion
Julian Arnold, Frank Schäfer, Niels Lörch
Machine learning has been successfully used to study phase transitions. One of the most popular approaches to identifying critical points from data without prior knowledge of the u…