Learning a distance measure from the information-estimation geometry of data
We introduce the Information-Estimation Metric (IEM), a novel form of distance function derived from an underlying continuous probability density over…
rXiv:2510.02514
We introduce the Information-Estimation Metric (IEM), a novel form of distance function derived from an underlying continuous probability density over…
rXiv:2510.02514Learning probability models from data is at the heart of many machine learning endeavors, but is notoriously difficult due to…
arXiv:2506.05310Generative diffusion models learn probability densities over diverse image datasets by estimating the score with a neural network trained to…
arXiv:2506.01912