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      <title>MPCC: Matching priors and conditional for clustering</title>
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      <description>Generative adversarial model for clustering. This model is derived from a KL Divergence perspective between inference and generative distributions.</description>
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      <title>Generative-inference models: Theory and empirical analysis (Part II)</title>
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      <description>Many Generative models have an infertence counter part. In this work we explore how they are formulated. We also studied their representation learning and generative capabilities theoretically and empirically.</description>
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      <title>Generative-inference models: Theory and empirical analysis (Part I)</title>
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