arXiv stat.ML
· Papers
Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors
arXiv:2608.00675v1 Announce Type: new Abstract: Autoregressive models accumulate error over long rollouts, yet at deployment there is no ground truth to measure it against. We train a single conditional latent diffusion model that steps a dynamical system forward or backward in time via a direction flag, and show that