ENERGENIUS
The ENERGENIUS project is a Horizon Europe project designed to transform how citizens, businesses, and communities interact with energy. By leveraging digital tools, AI-driven …
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Extracting latent representations from X-ray spectra. Classification, regression, and accretion signatures of Chandra sources
The study of X-ray spectra is crucial to understanding the physical nature of astrophysical sources. Machine learning methods can extract compact and informative representations of …
Artificial Intelligence and complex networks in multimodal X-ray astrophysics
Invited talk on the use of multimodal data in X-ray astrophysics.
An ultraviolet burst oscillation candidate from the low-mass X-ray binary EXO 0748–676
X-ray burst oscillations are quasi-coherent periodic signals at frequencies close to the neutron star spin frequency. They are observed during thermonuclear Type I X-ray bursts …
arianna-miraval-zanon
The hunt for new pulsating ultraluminous X-ray sources: A clustering approach
Context. The discovery of fast and variable coherent signals in a handful of ultraluminous X-ray sources (ULXs) points to the presence of super-Eddington accreting neutron stars, …
A Graph-based RAG for Energy Efficiency Question Answering
In this work, we investigate the use of Large Language Models (LLMs) within a graph-based Retrieval Augmented Generation (RAG) architecture for Energy Efficiency (EE) Question …
riccardo-campi
Multimodal multi-output ordinal regression for discovering gravitationally-lensed transients
Gravitational lenses are caused by massive astronomical objects that distort space-time, bending light. They can distort transient astrophysical events, such as supernovae (SN), …
Enhancing Human-AI Collaboration through a Conversational Agent for Energy Efficiency
Among the many scenarios where humans and AI agents can collaborate, Energy Efficiency (EE) is one where such collaboration could most effectively contribute to the goal of net …
riccardo-campi
Counting objects with multimodal multi-output ordinal regression
Talk on AI algorithms for gravitational lenses analysis.
Augmenting X-ray Astronomical Representations with Scientific Knowledge through Contrastive Learning
Astronomers have produced large multimodal datasets that include images, spectra, and time series, and that encode physical information about the observed objects. In addition, a …
juan-rafael-martinez-galarza