Pantheon SEMPARIS Le serveur des séminaires parisiens Paris

Statut Confirmé
Domaines cond-mat.stat-mech
Date Mercredi 6 Avril 2022
Heure 15:00
Institut LPENS
Salle Salle Djebar (29 rue d'Ulm)
Nom de l'orateur D'ascoli
Prenom de l'orateur Stéphane
Addresse email de l'orateur
Institution de l'orateur LPENS
Titre Tackling symbolic regression with Transformers
Résumé Symbolic regression, the task of predicting the mathematical expression of a function from the observation of its values, is a difficult task which has until now mainly been tackled with genetic algorithms. The latter involve costly searches through vast function spaces, and do not leverage past experience: each new problem is recomputed from scratch. In the first part of this talk, I will present our recent attempt at solving this problem via machine learning, by training Transformer models (originally built for machine translation) on huge datasets of synthetic examples. In the second part, I will present a specific application: that of recurrence prediction, i.e. recognising the recurrence relation of number sequences, for example 1,2,3,5,8->x_n=x_n-1 + x_n-2.
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