613 citations · 4.4k across the 121 of their papers we have counts for
123 papers
Data-Driven Approaches to Searches for the Technosignatures of Advanced Civilizations
T. Joseph W. Lazio, S. G. Djorgovski, Andrew Howard +19
Humanity has wondered whether we are alone for millennia. The discovery of life elsewhere in the Universe, particularly intelligent life, would have profound effects, comparable to…
Cosmology with Galaxy Cluster Properties using Machine Learning
Lanlan Qiu, Nicola R. Napolitano, Stefano Borgani +10
[Abridged] Galaxy clusters are the most massive gravitationally-bound systems in the universe and are widely considered to be an effective cosmological probe. We propose the first…
3D Detection and Characterisation of ALMA Sources through Deep Learning
Michele Delli Veneri, Lukasz Tychoniec, Fabrizia Guglielmetti +2
We present a Deep-Learning (DL) pipeline developed for the detection and characterization of astronomical sources within simulated Atacama Large Millimeter/submillimeter Array (ALM…
Generating astronomical spectra from photometry with conditional diffusion models
Lars Doorenbos, Stefano Cavuoti, Giuseppe Longo +3
A trade-off between speed and information controls our understanding of astronomical objects. Fast-to-acquire photometric observations provide global properties, while costly and t…
Bayesian and Machine Learning Methods in the Big Data era for astronomical imaging
Fabrizia Guglielmetti, Philipp Arras, Michele Delli Veneri +4
The Atacama Large Millimeter/submillimeter Array with the planned electronic upgrades will deliver an unprecedented amount of deep and high resolution observations. Wider fields of…
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection
Lars Doorenbos, Olena Torbaniuk, Stefano Cavuoti +5
Modern sky surveys are producing ever larger amounts of observational data, which makes the application of classical approaches for the classification and analysis of objects chall…