The UniPC TU sampler is an unadjusted Langevin algorithm used for sampling from probability distributions in machine learning. Here are some key details:

In summary, the UniPC TU sampler is an enhanced MCMC algorithm that can explore multimodal distributions for deep learning using carefully calibrated noise injection in parameter space.