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astro-ph.IM2026
Differentiable astrophysics at scale: solving and differentiating ODE ensembles on the GPU
A. Spurio Mancini
Astronomers increasingly fit their models with gradient-based methods, such as Hamiltonian Monte Carlo, which need the derivatives of the model with respect to its parameters. In m…
cs.MS2026
GRADSOLVE: fast exact gradients for ODE ensembles on GPUs
Alessio Spurio Mancini
Ordinary differential equations (ODEs) underlie models in science and engineering, and many applications need derivatives of their solutions with respect to parameters. Ensembles o…