Symmetric Linear Dynamical Systems are Learnable from Few Observations
DGX agentarXiv:2512.05337v2 Announce Type: replace-cross Abstract: We consider the problem of learning the parameters of a N-dimensional stochastic linear dynamics under both full and partial observations from