Learning to Test: Latent Representation Learning for Dynamic Instability Detection
This framework uses physics-informed representation learning to create a compact latent space that captures stability risks in complex systems without needing repeated simulations. It reformulates stability checking as a simple distributional test in this latent space, allowing for reliable detection of instability under varying conditions.