LMI-Net introduces a method for building neural networks with Linear Matrix Inequality constraints via differentiable projection layers, enabling optimization of networks subject to formal mathematical constraints.
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LMI-Net: Linear Matrix Inequality--Constrained Neural Networks via Differentiable Projection Layers
Researchers introduce differentiable projection layers that allow neural networks to be trained while satisfying formal Linear Matrix Inequality constraints, enabling provably bounded behavior for safety-critical applications.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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