energy-based-model

Energy-Based Models (EBMs) define a probability distribution through an energy function, where lower energy configurations are more likely. These models provide a powerful framework for various tasks, including generation and classification. A misconception is that EBMs are only used for unsupervised learning; they can also be adapted for supervised tasks. They excel in capturing dependencies in data, making them suitable for complex distributions.