Energy-Based Model on MNIST

Coming Soon

This example is planned for a future release. Check back for updates on EBM implementations.

Overview

This example will demonstrate:

• Energy-based modeling basics
• Training with contrastive divergence
• MCMC sampling for generation
• Visualizing energy landscapes

Planned Features

• Simple MLP energy function
• Langevin dynamics sampling
• Training stability techniques
• Generation quality evaluation

Related Documentation

• Energy-Based Models API
• EBM Concepts
• EBM Guide

References

• LeCun et al., "A Tutorial on Energy-Based Learning" (2006)
• Du & Mordatch, "Implicit Generation and Modeling with Energy-Based Models" (2019)