# Energy-Based Model **Domain:** Machine Learning / Statistical Modeling **Doc Type:** Technical Concept Node **Maturity:** Developing **Related:** [[wiki/Yann LeCun|Yann LeCun]], [[wiki/Artificial Neural Networks|Artificial Neural Networks]], [[wiki/Boltzmann Machine|Boltzmann Machine]] --- ## Definition An **energy-based model** learns a scalar compatibility or “energy” function over possible configurations. Compatible observations and states receive lower energy; incompatible configurations receive higher energy. Prediction or inference searches for configurations favored by the learned landscape. ## Ontology Context This node owns the general modeling framework. [[wiki/Boltzmann Machine|Boltzmann Machine]] owns the stochastic neural-network architecture, while [[wiki/Yann LeCun|Yann LeCun]] owns the person-level research lineage. ## See Also [[wiki/Artificial Neural Networks|Artificial Neural Networks]] · [[wiki/Attractor|Attractor]] · [[wiki/Latent Space|Latent Space]] · [[wiki/Yann LeCun|Yann LeCun]]