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Universal Approximation Under Constraints is...
Preprint

Universal Approximation Under Constraints is Possible with Transformers

Abstract

Many practical problems need the output of a machine learning model to satisfy a set of constraints, $K$. Nevertheless, there is no known guarantee

Authors

Kratsios A; Zamanlooy B; Liu T; Dokmanić I

Publication date

October 7, 2021

DOI

10.48550/arxiv.2110.03303

Preprint server

arXiv