Gonzalo E. Constante Flores

Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules

Deep learning models are increasingly deployed in safety-critical tasks where predictions must satisfy hard constraints, such as physical laws, fairness requirements, or safety limits. However, standard architectures lack built-in mechanisms to enforce such constraints, and existing approaches based…