Article

Information theory for data-driven model reduction in physics and biology

2024-04-25

Abstract excerpt

Model reduction is the construction of simple yet predictive descriptions of the dynamics of many-body systems in terms of a few relevant variables. A prerequisite to model reduction is the identification of these relevant variables, a task for which no general method exists. Here, we develop a systematic approach based on the information bottleneck to identify the relevant variables, defined as those most predict...

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Literature Corpus work: 76bfe2e1-9e33-5d0a-a5d8-0f7dfae0eafb
DOI: 10.1101/2024.04.19.590281

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