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Behnoosh Zamanlooy

2 accepted papers

2022

Universal Approximation Under Constraints is Possible with Transformers

ICLR 2022spotlight

Many practical problems need the output of a machine learning model to satisfy a set of constraints, $K$. Nevertheless, there is no known guarantee that classical neural network architectures can exactly encode constraints while simultaneously achieving universality. We provide a quantitative cons…

Cited by 37SourcePDFScholar