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PotentialEP: Backprop-Free Training of CIFAR-Scale Generative Models via Equilibrium Propagation
Generating an image with a diffusion or flow-matching model typically involves integrating a velocity field for hundreds of sequential steps. That computation suits a GPU poorly and an analog neuromorphic substrate well, where one fast, low-power physical relaxation could replace the whole sequence.
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