INAF SCHOOL OF AI

Session

Flash Talks

14 Apr 2026, 18:00

Auditorium Nazionale Ernesto Capocci (INAF Astronomical Observatory of Capodimonte (Naples))

4. Quantum Markov Chain Monte Carlo for Cosmological Functions

Giuseppe Sarracino (Istituto Nazionale di Astrofisica (INAF))

14/04/2026, 18:00

In this talk, an hybrid quantum algorithm for Bayesian inference will be presented, QMCMC, following the Markow Chain Monte Carlo method. This algorithm proposes the new steps via the evaluation of the statevector of a quantum circuit, then evaluates the objective function and the acceptance rate classically using the Metropolis-Hastings criterium. The QMCMC algorithm has been tested with real...

5. DeepLandforms: A Deep Learning Computer Vision Toolset Applied to a Prime Use Case for Mapping Planetary Skylights

Giacomo Nodjoumi (Istituto Nazionale di Astrofisica (INAF))

14/04/2026, 18:10

This work presents DeepLandforms, an open-source toolkit for landform mapping using validated Deep Learning methods. It provides a complete workflow, covering data preparation, model training, and inference, and gives users full control and customization over the entire process. To validate the tool, it was applied to a science case mapping sinkhole-like landforms on Mars, demonstrating its...

7. The GalRSG project: Red Supergiants on the brink of core-collapse

Mario Lauriano (INAF - Osservatorio Astronomico di Palermo, Università di Padova)

14/04/2026, 18:20

The GalRSG project is a long-term, high-cadence, multi-band photometric monitoring campaign designed to detect pre-supernova variability and intense mass-loss events in Red Supergiants (RSGs), which are key progenitors of Type II supernovae. By applying advanced machine learning techniques to high-precision photometric data, the project aims to identify anomalies and mass-loss signatures in...

8. Machine Learning and Super resolution for radio astronomical data analysis

Giorgia Vitanza (INAF - Osservatorio Astrofisico di Catania)

15/04/2026, 17:30

The main objective of the project is to improve the quality and usability of data from next-generation radio telescopes, such as those involved in the SKA project, by developing advanced methodologies to increase resolution, automatically remove artifacts, and intelligently compress datasets to optimize storage. These datasets, extremely large and multidimensional, require innovative solutions...

9. The first extragalactic Mg-K anticorrelation

Deimer Antonio Alvarez Garay (Istituto Nazionale di Astrofisica (INAF))

15/04/2026, 17:40

It is well established that Globular Clusters (GCs) are formed by multiple populations (MPs) with different light element abundances (C, N, O, Na, Mg, Al, Si, K), that are structured in well-defined patterns, such as the Na-O and Mg-Al anticorrelations. This evidence is interpreted as the result of a self-enrichment process, where a second population of stars was formed from material...

11. Multimodal Foundation Models for Galaxy Classification in Abell S1063

Lorenzo Santo (Istituto Nazionale di Astrofisica (INAF))

15/04/2026, 17:50

In the era of big-data astronomy, automated and scalable galaxy classification is essential to handle the output of next-generation surveys. This talk presents an application of AstroCLIP, a state-of-the-art cross-modal foundation model, to classify 423 spectroscopically confirmed member galaxies of the cluster Abell S1063 from the CLASH-VLT survey. Leveraging the Transformer architecture and...

32. Tracing the Roots of the Early Evolution of the Milky Way through Pulsations (TREE)

Emanuela Luongo (Istituto Nazionale di Astrofisica (INAF))

15/04/2026, 18:00

10. An ubiquitous population of dynamically-cold galaxy disks at z=4-5

Lingrui Lin (Istituto Nazionale di Astrofisica (INAF))