17 Jul, 2026
40 mins read

Machine learning with hard constraints: Neural Differential-Algebraic Equations (DAEs) as a general formalism – Beragampengetahuan

By: Christopher Rackauckas Re-posted from: We recently released a new manuscript Semi-Explicit Neural DAEs: Learning Long-Horizon Dynamical Systems with Algebraic Constraints where we showed a way to develop neural networks where any arbitrary constraint function can be directly imposed throughout the evolution equation to near floating point accuracy. However, in true academic form it focuses […]