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This paper introduces steerable neural ordinary differential equations on homogeneous spaces, providing a geometric framework for learning continuous-time equivariant dynamics.
FFJORD introduces a scalable reversible generative model using continuous dynamics and Hutchinson's trace estimator to enable unbiased log-density estimation without architectural constraints. The method achieves state-of-the-art results on density estimation and image generation while maintaining efficient sampling.