Zobrazeno 1 - 10
of 85 630
pro vyhledávání: '"Magda, A."'
Recently, several methods have leveraged deep generative modeling to produce example-based explanations of decision algorithms for high-dimensional input data. Despite promising results, a disconnect exists between these methods and the classical exp
Externí odkaz:
http://arxiv.org/abs/2410.20890
Autor:
Scognamiglio, Diana, Spiniello, Chiara, Radovich, Mario, Tortora, Crescenzo, Napolitano, Nicola R., Li, Rui, Maturi, Matteo, Maksymowicz-Maciata, Michalina, Cappellari, Michele, Arnaboldi, Magda, Bevacqua, Davide, Coccato, Lodovico, D'Ago, Giuseppe, Feng, Hai-Cheng, Ferré-Mateu, Anna, Hartke, Johanna, Martín-Navarro, Ignacio, Pulsoni, Claudia
Relic galaxies, the oldest ultra-compact massive galaxies (UCMGs), contain almost exclusively "pristine" stars formed during an intense star formation (SF) burst at high redshift. As such, they allow us to study in detail the early mechanism of galax
Externí odkaz:
http://arxiv.org/abs/2409.12288
In this paper, we introduce a synergistic approach between artificial intelligence and system operators through an innovative digital twin architecture, integrated with an active learning framework, to enhance short-term load forecasting. Central to
Externí odkaz:
http://arxiv.org/abs/2409.00368
The tensor programming abstraction has become a foundational paradigm for modern computing. This framework allows users to write high performance programs for bulk computation via a high-level imperative interface. Recent work has extended this parad
Externí odkaz:
http://arxiv.org/abs/2408.14706
Galaxy chemical enrichment mechanisms have primarily been constrained by [$\alpha$/Fe] and [Fe/H] measurements of individual stars and integrated light from stellar populations. However such measurements are limited at higher redshifts (z>1). Recentl
Externí odkaz:
http://arxiv.org/abs/2408.13396
Despite basic differences between Spiking Neural Networks (SNN) and Artificial Neural Networks (ANN), most research on SNNs involve adapting ANN-based methods for SNNs. Pruning (dropping connections) and quantization (reducing precision) are often us
Externí odkaz:
http://arxiv.org/abs/2408.02961
Autor:
Spavone, Marilena, Iodice, Enrichetta, Lohmann, Felipe S., Arnaboldi, Magda, Hilker, Michael, La Marca, Antonio, Calvi, Rosa, Cantiello, Michele, Corsini, Enrico M., D'Ago, Giuseppe, Forbes, Duncan A., Mirabile, Marco, Rejkuba, Marina
In this paper, we analyse the light distribution in the Hydra I cluster of galaxies to explore their low surface brightness features, measure the intra-cluster light, and address the assembly history of the cluster. For this purpose, we used deep wid
Externí odkaz:
http://arxiv.org/abs/2408.01501
To sample from an unconditionally trained Denoising Diffusion Probabilistic Model (DDPM), classifier guidance adds conditional information during sampling, but the gradients from classifiers, especially those not trained on noisy images, are often un
Externí odkaz:
http://arxiv.org/abs/2406.17399
Autor:
Veršič, Tadeja, Rejkuba, Marina, Arnaboldi, Magda, Gerhard, Ortwin, Pulsoni, Claudia, Valenzuela, Lucas M., Hartke, Johanna, Watkins, Laura L., van de Ven, Glenn, Thater, Sabine
Publikováno v:
A&A 687, A80 (2024)
Within the $\Lambda$CDM cosmology, dark matter haloes are expected to deviate from spherical symmetry. Constraining the halo shapes at large galactocentric distances is challenging due to the low density of luminous tracers. The well-studied early-ty
Externí odkaz:
http://arxiv.org/abs/2403.13109
Autor:
Maksymowicz-Maciata, Michalina, Spiniello, Chiara, Martín-Navarro, Ignacio, Ferré-Mateu, Anna, Bevacqua, Davide, Cappellari, Michele, D'Ago, Giuseppe, Tortora, Crescenzo, Arnaboldi, Magda, Hartke, Johanna, Saracco, Paolo, Scognamiglio, Diana
The INSPIRE project has built the largest sample of ultra-compact massive galaxies (UCMGs) at 0.1
Externí odkaz:
http://arxiv.org/abs/2401.15769