Statut  Confirmé 
Série  FORUMENS 
Domaines  condmat.statmech 
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_n1 + x_n2. 
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