Normalizing Flow Maps
Scalable approaches to learning neural dynamical systems have placed diffusion, flow matching, and few-step generators in flow maps at the forefront of generative modeling. Such state-of-the-art models have limited access to explicit model densities despite evolving from classical generative modeling approaches that le...
Francesco Ruscio, Timothy James Hitge, Fred Zhangzhi Peng et al.
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