1.3k citations · 6.8k across the 68 of their papers we have counts for
69 papers
Extreme data compression for Bayesian model comparison
Alan F. Heavens, Arrykrishna Mootoovaloo, Roberto Trotta +1
We develop extreme data compression for use in Bayesian model comparison via the MOPED algorithm, as well as more general score compression. We find that Bayes factors from data co…
Neural Posterior Estimation with guaranteed exact coverage: the ringdown of GW150914
Marco Crisostomi, Kallol Dey, Enrico Barausse +1
We analyze the ringdown phase of the first detected black-hole merger, GW150914, using a simulation-based inference pipeline based on masked autoregressive flows. We obtain approxi…
SICRET: Supernova Ia Cosmology with truncated marginal neural Ratio EsTimation
Konstantin Karchev, Roberto Trotta, Christoph Weniger
Type Ia supernovae (SNae Ia), standardisable candles that allow tracing the expansion history of the Universe, are instrumental in constraining cosmological parameters, particularl…
EuCAPT White Paper: Opportunities and Challenges for Theoretical Astroparticle Physics in the Next Decade
R. Alves Batista, M. A. Amin, G. Barenboim +134
Astroparticle physics is undergoing a profound transformation, due to a series of extraordinary new results, such as the discovery of high-energy cosmic neutrinos with IceCube, the…
New Constraints on Anisotropic Expansion from Supernovae Type Ia
W. Rahman, R. Trotta, S. S. Boruah +2
We re-examine the contentious question of constraints on anisotropic expansion from Type Ia supernovae (SNIa) in the light of a novel determination of peculiar velocities, which ar…
Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift
Maximilian Autenrieth, David A. van Dyk, Roberto Trotta +1
We propose a simple, statistically principled, and theoretically justified method to improve supervised learning when the training set is not representative, a situation known as c…