We propose a novel simplicial complex that enables computing accurately persistent homology on large scale Euclidean point clouds.

A novel autoregressive model for generating attributed graphs using decoder-only transformers.

H-SPLID learns salient features via latent space decomposition and we provide theoretical guarantees w.r.t. input perturbations.