An Energy-Based Model (EBM) is a type of probabilistic model used in machine learning and statistics that associates a scalar energy value with each configuration (or state) of the model. The main idea is to define a system where the probability distribution of configurations is related to their energy, typically such that lower energy states are more probable.
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