# Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces

Yatin Nandwani
Deepanshu Jindal

Abstract:

Recent research has proposed neural architectures for solving combinatorial problems in structured output spaces. In many such problems, there may exist multiple solutions for a given input, e.g. a partially filled Sudoku puzzle may have many completions satisfying all constraints. Further, we are often interested in finding {\em any on...More

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