Full Professor, Universität Vienna
3 papers at NeurIPS 2025
We prove clean optimality results for clustering in ultrametrics, identify ways to take advantage of this theory and thoroughly evaluate the resulting techniques.
H-SPLID learns salient features via latent space decomposition and we provide theoretical guarantees w.r.t. input perturbations.