activity
20242026
collaborators

10 papers

math.NT2026

Finding all cospectral mates over a number field

Alexander Van Werde

We investigate a notion of cospectrality for integer matrices that is parameterized by algebraic number fields. Given a number field and a symmetric integer matrix, we wonder when…

cs.SI2026

Spectral graph clustering with inhomogeneous latent geometry

Konstantin Avrachenkov, Lucas S. Sibemberg, Alexander Van Werde

We study spectral clustering in the presence of a confounding latent geometry. The leading eigenvectors may then be dominated by the latent geometry rather than by the communities.…

cs.LG2026

Detection and Evaluation of Clusters within Sequential Data

Alexander Van Werde, Albert Senen-Cerda, Gianluca Kosmella +1

Sequential data is ubiquitous -- it is routinely gathered to gain insights into complex processes such as behavioral, biological, or physical processes. Challengingly, such data no…

math.PR2026

On the satisfaction frequency of spectral characterization conditions

Nikita Lvov, Alexander Van Werde

We give the first specific conjectures on how frequently graphs satisfy sufficient conditions for being uniquely characterized by spectral information. These conjectures arise from…

math.CO2026

Are sparse graphs typically determined by their spectrum?

Nils Van de Berg, Alexander Van Werde

We investigate whether it is typical for a sparse graph to be uniquely characterized by its adjacency spectrum up to isomorphism. Our first result shows that the giant component of…

math.CO2026

A sufficient condition for generalized spectral characterization of graphs with loops

Alexander Van Werde

Sufficient conditions for a simple graph to be characterized up to isomorphism given its spectrum and the spectrum of its complement graph are known due to Wang and Xu. This note e…