LMI-Net enforces LMI constraints in neural networks by construction using a differentiable projection layer based on Douglas-Rachford splitting and implicit differentiation.
Learning stable deep dynamics models
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A mixed-integer quadratically constrained optimization learns interpretable stable dynamical models and their Lyapunov functions from data by enforcing stability constraints during training.
citing papers explorer
-
LMI-Net: Linear Matrix Inequality--Constrained Neural Networks via Differentiable Projection Layers
LMI-Net enforces LMI constraints in neural networks by construction using a differentiable projection layer based on Douglas-Rachford splitting and implicit differentiation.
-
Learning interpretable and stable dynamical models via mixed-integer Lyapunov-constrained optimization
A mixed-integer quadratically constrained optimization learns interpretable stable dynamical models and their Lyapunov functions from data by enforcing stability constraints during training.