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Estimating the expected output of wide random MLPs more efficiently than sampling

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Published in:ArXiv cs.LG Recent Papers
Format: Online Article RSS Article
Published: 2026
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container_title ArXiv cs.LG Recent Papers
description
discipline_display Engineering & Technology
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format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet ArXiv cs.LG Recent Papers
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Estimating the expected output of wide random MLPs more efficiently than sampling
ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
sub_discipline_display Petroleum & Energy
sub_discipline_facet Petroleum & Energy
subject_display ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
subject_facet ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
title Estimating the expected output of wide random MLPs more efficiently than sampling
title_auth Estimating the expected output of wide random MLPs more efficiently than sampling
title_full Estimating the expected output of wide random MLPs more efficiently than sampling
title_fullStr Estimating the expected output of wide random MLPs more efficiently than sampling
title_full_unstemmed Estimating the expected output of wide random MLPs more efficiently than sampling
title_short Estimating the expected output of wide random MLPs more efficiently than sampling
title_sort estimating the expected output of wide random mlps more efficiently than sampling
topic ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
url https://arxiv.org/abs/2605.05179v1