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Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective

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Bibliographic Details
Published in:Journal of Machine Learning Research (JMLR)
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Machine Learning Research (JMLR)
description
discipline_display Access Artificial Intelligence and Machine Learning
discipline_facet Access Artificial Intelligence and Machine Learning
format Online Article
RSS Article
genre Journal Article
id rss_article:85102
institution FRELIP
journal_source_facet Journal of Machine Learning Research (JMLR)
last_indexed 2026-06-20T21:41:21.451Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
sub_discipline_display General
sub_discipline_facet General
subject_display Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
subject_facet Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
title Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
title_alt Los transformadores pueden superar la maldición de la dimensionalidad: un estudio teórico desde una perspectiva de aproximación
Les transformateurs peuvent surmonter la malédiction de la dimensionnalité : une étude théorique d'un point de vue approximation
Transformers Podem Superar a Maldição da Dimensionalidade: Um Estudo Teórico sob uma Perspectiva de Aproximação
title_auth Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
title_es_txt Los transformadores pueden superar la maldición de la dimensionalidad: un estudio teórico desde una perspectiva de aproximación
title_fr_txt Les transformateurs peuvent surmonter la malédiction de la dimensionnalité : une étude théorique d'un point de vue approximation
title_full Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
title_fullStr Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
title_full_unstemmed Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
title_pt_txt Transformers Podem Superar a Maldição da Dimensionalidade: Um Estudo Teórico sob uma Perspectiva de Aproximação
title_short Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
title_sort transformers can overcome the curse of dimensionality: a theoretical study from an approximation perspective
topic Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
url http://jmlr.org/papers/v27/25-1214.html