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Jan, 2022
递归序列的深度符号回归
Deep Symbolic Regression for Recurrent Sequences
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Stéphane d'Ascoli, Pierre-Alexandre Kamienny, Guillaume Lample, François Charton
TL;DR
本文研究利用Transformers模型推断整数或浮点数序列中函数或递归关系，模型在OEIS子集数据集上表现良好，并能够生成有关未知函数或常数的近似。
Abstract
symbolic regression
, i.e. predicting a function from the observation of its values, is well-known to be a challenging task. In this paper, we train
transformers
to infer the function or recurrence relation underl
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