15 citations · 16 across the 3 of their papers we have counts for
3 papers
astro-ph.CO2026
Field-level multi-tracers simulation-based inference of cosmological parameters from 3D maps
Giulio Scelfo, Satvik Mishra, Mauro Rigo +2
Extracting maximum cosmological information from current and upcoming large-scale structure data requires going beyond summary statistics as currently used in likelihood-based infe…
astro-ph.CO2025★ 1 cited
JERALD: high-fidelity dark matter, stellar mass and neutral hydrogen maps from fast N-body simulations
Mauro Rigo, Roberto Trotta, Matteo Viel
We present a new code and approach, JERALD -- JAX Enhanced Resolution Approximate Lagrangian Dynamics -- , that improves on and extends the Lagrangian Deep Learning method of Dai &…
nucl-th2022★ 15 cited
Solving the nuclear pairing model with neural network quantum states
Mauro Rigo, Benjamin Hall, Morten Hjorth-Jensen +2
We present a variational Monte Carlo method that solves the nuclear many-body problem in the occupation number formalism exploiting an artificial neural network representation of t…