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Learning Through Energy Refinement and Manifold Projection: A Cooperative EBM-AE Framework
Energy-Based Models (EBMs) provide a flexible framework for generative modeling by learning an energy landscape that assigns low energy values to realistic samples and higher energies to unlikely observations. Despite their theoretical appeal, training EBMs remains challenging due to the computation
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