Holographic generative flows with AdS/CFT
This work builds Generative AdS, an approach to generative flow matching in which the dynamics are represented by the evolution of fields in AdS, together with a residual correction learned by a neural network.
Ehsan Mirafzali, Sanjit Shashi, S. Murdeshwar et al.
· Machine Learning: Science an... · 0 citations