HardNet++: Nonlinear Constraint Enforcement in Neural Networks

HardNet++ enforces both linear and nonlinear constraints on neural network outputs during inference, addressing a gap in existing methods that either lack guarantees or work only for specific constraint types. The technique matters for safety-critical applications like control systems and autonomous decision-making where constraint violations carry real costs.

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