Author

Maximilien Dreveton

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Preprint Oct 2026

Estimation and Recovery of a Planted Dense Subgraph from a Single Network Cascade

We study the inference of a planted dense component in a sparse random graph from a single spreading process. The graph has an Erd\H{o}s-R\'enyi background with edge probability $p_n$ and contains a planted dense component of size $n^{\alpha}$, with $\alpha>1/2$, whose internal edge density $\xi>0$ is constant. The edg...

Maximilien Dreveton, Paula Mürmann, Patrick Thiran · 0 citations

#machine learning Preprint Sep 2026

Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance

This paper explicitly construct several admissible methods, including methods based on well-separated clusters and a non-binary version of single linkage, and shows that, in contrast to the flat clustering setting, the hierarchical analog of these axioms are jointly satisfiable.

Daichi Kuroda, Maximilien Dreveton, M. Grossglauser et al. · 0 citations