no code implementations • 20 Dec 2019 • Angela Rita Provenzano, Daniele Trifirò, Nicola Jean, Giacomo Le Pera, Maurizio Spadaccino, Luca Massaron, Claudio Nordio
We analyse the effectiveness of modern deep learning techniques in predicting credit ratings over a universe of thousands of global corporate entities obligations when compared to most popular, traditional machine-learning approaches such as linear models and tree-based classifiers.
no code implementations • 20 Jul 2015 • Daniele Trifirò, Richard O'Shaughnessy, Davide Gerosa, Emanuele Berti, Michael Kesden, Tyson Littenberg, Ulrich Sperhake
Gravitational waves from coalescing binary black holes encode the evolution of their spins prior to merger.
General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena
no code implementations • 30 Jun 2015 • Davide Gerosa, Michael Kesden, Richard O'Shaughnessy, Antoine Klein, Emanuele Berti, Ulrich Sperhake, Daniele Trifirò
In this work, we show that these solutions can be unstable when the spin of the higher-mass black hole is aligned with the orbital angular momentum and the spin of the lower-mass black hole is anti-aligned.
General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena