GLinSAT: The General Linear Satisfiability Neural Network Layer By ...

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View PDF HTML (experimental) Abstract: Ensuring that the outputs of neural networks satisfy specific constraints is crucial for applying neural networks to real-life decision-making problems. In this paper, we consider making a batch of neural network outputs satisfy bounded and general linear constraints. We first reformulate the neural network output projection problem as an entropy ...


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