Harry Desmond
Institute of Cosmology and Gravitation, University of Portsmouth (Portsmouth, Royaume-Uni)
Amphithéâtre Henri Mineur, Institut d'Astrophysique de Paris
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| « Exhaustive Symbolic Regression, or how to find the best function for your data » |
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Harry Desmond |
| Symbolic regression aims to find optimal functional representations of datasets, with broad applications across science. This is traditionally done using a "genetic algorithm" which stochastically generates trial functions through an analogue of natural selection. Motivated by limitations to this approach, I will describe a new method which exhaustively searches and evaluates function space. Coupled to an information-theoretic model selection principle based on minimum description length, Exhaustive Symbolic Regression is guaranteed to find the simple functions that optimally balance simplicity with accuracy on any dataset. I will describe how the method works and showcase it on Hubble rate measurements, galaxy dynamics and the problem of cosmic inflation. |
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vendredi 28 novembre 2025 - 11:00 Amphithéâtre Henri Mineur, Institut d'Astrophysique de Paris |
| Page web du séminaire / Seminar's webpage |