"universal approximator" Papers

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Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules

Gonzalo E. Constante, Hao Chen, Can Li

NEURIPS 2025posterarXiv:2505.13858
4
citations

Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models

Ben Finkelshtein, Ismail Ilkan Ceylan, Michael Bronstein et al.

NEURIPS 2025posterarXiv:2506.14291
10
citations