output
20022025
most citedMining (maximal) span-cores from temporal networks

57 citations

22 papers

astro-ph.SR2025

JWST imaging of omega Centauri: II. Evidence for a split white dwarf cooling sequence in the near-infrared

M. Scalco, M. Salaris, L. R. Bedin +11

We present a detailed analysis of the white dwarf cooling sequence (WD CS) in omega Centauri based on combined Hubble Space Telescope (HST) and JWST observations. Our analysis conf…

math.AP2025

Propagation of weak log-concavity along generalised heat flows via Hamilton-Jacobi equations

Louis-Pierre Chaintron, Giovanni Conforti, Katharina Eichinger

A well-known consequence of the Pr{é}kopa-Leindler inequality is the preservation of logconcavity by the heat semigroup. Unfortunately, this property does not hold for more general…

astro-ph.GA2025★ 1 cited

JWST imaging of omega Centauri -- I. Luminosity and mass functions of its main sequence populations

M. Scalco, R. Gerasimov, L. R. Bedin +10

This paper presents the first study of the most massive globular cluster (GC) in the Milky Way, omega Centauri, employing recently acquired JWST deep images. By combining these dat…

astro-ph.GA2024

A study of the star clusters' population in the giant molecular cloud G174+2.5

T. A. Permyakova, G. Carraro, A. F. Seleznev +3

We study the structure, interstellar absorption, color-magnitude diagrams, kinematics, and dynamical state of embedded star clusters in the star-forming region associated with the…

cs.AI2024

From MIDI to Rich Tablatures: an Automatic Generative System incorporating Lead Guitarists' Fingering and Stylistic choices

Pierluigi Bontempi, Daniele Manerba, Alexandre D'Hooge +1

Although the automatic identification of the optimal fingering for the performance of melodies on fretted string instruments has already been addressed (at least partially) in the…

cs.LG2023

Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization

Sara Venturini, Marianna de Santis, Jordan Patracone +3

In recent years, bilevel approaches have become very popular to efficiently estimate high-dimensional hyperparameters of machine learning models. However, to date, binary parameter…