43 citations · 178 across the 38 of their papers we have counts for
6 papers · 1 filter
Greedy algorithms for learning via exponential-polynomial splines
Rosanna Campagna, Stefano De Marchi, Emma Perracchione +1
Kernel-based schemes are state-of-the-art techniques for learning by data. In this work we extend some ideas about kernel-based greedy algorithms to exponential-polynomial splines,…
Imaging from STIX visibility amplitudes
Paolo Massa, Emma Perracchione, Sara Garbarino +5
Aims: To provide the first demonstration of STIX Fourier-transform X-ray imaging using semi-calibrated (amplitude-only) visibility data acquired during the Solar Orbiter's cruise p…
Efficient Reduced Basis Algorithm (ERBA) for kernel-based approximation
Francesco Marchetti, Emma Perracchione
The main purpose of this work is the one of providing an efficient scheme for constructing reduced interpolation models for kernel bases. In literature such problem is mainly addre…
STIX X-ray microflare observations during the Solar Orbiter commissioning phase
Andrea Francesco Battaglia, Jonas Saqri, Paolo Massa +34
The Spectrometer/Telescope for Imaging X-rays (STIX) is the HXR instrument onboard Solar Orbiter designed to observe solar flares over a broad range of flare sizes, between 4-150 k…
Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs
Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil +3
Model reduction for fluid flow simulation continues to be of great interest across a number of scientific and engineering fields. In a previous work [arXiv:2104.13962], we explored…
Feature augmentation for the inversion of the Fourier transform with limited data
Emma Perracchione, Anna Maria Massone, Michele Piana
We investigate an interpolation/extrapolation method that, given scattered observations of the Fourier transform, approximates its inverse. The interpolation algorithm takes advant…