AI RESEARCH
Mapping Uncharted Symmetries: Machine Discovery in Combinatorics
arXiv CS.LG
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ArXi:2605.19063v1 Announce Type: new Inspired by long-standing open problems in algebraic combinatorics, we show that modern machine learning can meaningfully contribute to verifiable mathematical discoveries. In particular, we focus on the construction of simple mathematical functions under exact distributional constraints, a setting we formalize as Simple Learning Under Rigid Proportions (SLURP). We tackle this problem by