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On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

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Published in:JMLR
Format: Online Article RSS Article
Published: 2026
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publishDateSort 2026
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spellingShingle On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
subject_facet Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
title On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
title_auth On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
title_full On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
title_fullStr On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
title_full_unstemmed On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
title_short On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
title_sort on the statistical properties of generative adversarial models for low intrinsic data dimension
topic Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
url http://jmlr.org/papers/v26/24-0054.html