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Optimal Transport Generative Modeling (OTGM) is an important tool in Machine Learning and Neural Networks. In this essay, I will discuss the Optimal Transport Distillation method that was proposed by Cohen et al. (2011) in their work titled “A Proposal for Spherical Restricted Boltzmann Machines.” In this work, the authors used OTGM as an approach to approximate the posterior distribution of latent variables given the observations of the data in the space of spherical harmonics coefficients. This
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