Data denoising with self
Data denoising with self consistency, variance maximization, and the Kantorovich dominance
Data denoising with self consistency, variance maximization, and the Kantorovich dominance
arXiv:2502.02925v1 Announce Type: cross
Abstract: We introduce a new framework for data denoising, partially inspired by martingale optimal transport. For a given noisy distribution (the data), our approach involves finding the closest distribution to it among all distributions which 1) have a part…