Certifiably interpretable training of ReLU-MLPs for Boolean tasks with guaranteed truth-table generalization
Read the original at arxiv.org→arXiv:2609.13439v1 Announce Type: new Abstract: As compute scales, models evolve, and training algorithms advance, our ability to explain the increasingly powerful AI systems they enable is eroding. To help...
Original headline: "Certifiably Interpretable Training of ReLU-MLPs for Boolean Tasks with Guaranteed Truth-Table Generalization"
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- Sep 15, 04:00 UTC arXiv cs.LG lead source Certifiably Interpretable Training of ReLU-MLPs for Boolean Tasks with Guaranteed Truth-Table Generalization