Two key features make correlation clustering quite suitable in real-world applications.

We perform experiments on high-dimensional Gaussians, Lotka-V olterra dynamics, and a Pickover attractor.

The Segmentation Anything Model (SAM) requires labor-intensive data labeling. We present Unsupervised SAM (UnSAM) for promptable and automatic whole-image segmentation that does not require human annotations.

Bayesian deep learning has always garnered substantial interest in the machine learning community.