Foundations of Symbolic Languages for Model Interpretability

Marcelo Arenas, Daniel Baez, Pablo Barceló, Jorge Pérez 0001, Bernardo Subercaseaux. Foundations of Symbolic Languages for Model Interpretability. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 11690-11701, 2021. [doi]

Abstract

Abstract is missing.