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DeepMDMD Enforces Algebraic Koopman Constraints in Learned Latent Spaces
June 2, 2026
DeepMDMD combines deep Koopman coordinate learning with an exact algebraic product-rule constraint, alternating between a multiplicative operator update and differentiable latent clustering to enforce Koopman closure. The method targets nonlinear dynamical systems where standard deep Koopman methods sacrifice algebraic structure for flexibility.
paper
HOW THIS AFFECTS YOU
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researcherDeepMDMD is relevant if you work on operator-theoretic methods for nonlinear dynamics and want structure-preserving guarantees without fixing the observable dictionary upfront.