Differentiating unstable diffusion

We derive a path-kernel formula for the linear response of SDEs, where the perturbation applies to initial conditions, drift coefficients, and diffusion coefficients. It tempers the unstableness by gradually moving the path-perturbation to hit the probability kernel. Then we derive a pathwise sampling algorithm and demonstrate it on the Lorenz 96 system with noise.