Davide Piras

According to our database, Davide Piras authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison.

Davide Piras, Alicja Polanska, Alessio Spurio Mancini, Matthew A. Price, Jason D. McEwen

CoRR, 2024

2023

A robust estimator of mutual information for deep learning interpretability.

Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord

Mach. Learn. Sci. Technol., June, 2023

A representation learning approach to probe for dynamical dark energy in matter power spectra.

Davide Piras, Lucas Lombriser

CoRR, 2023

CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulators.

Davide Piras, Alessio Spurio Mancini

CoRR, 2023

2022

Fast and realistic large-scale structure from machine-learning-augmented random field simulations.

Davide Piras, Benjamin Joachimi, Francisco Villaescusa-Navarro

CoRR, 2022

Discovering the building blocks of dark matter halo density profiles with neural networks.

Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam, Davide Piras

CoRR, 2022

2021

Towards fast machine-learning-assisted Bayesian posterior inference of realistic microseismic events.

Davide Piras, Alessio Spurio Mancini, Benjamin Joachimi, Michael P. Hobson

CoRR, 2021

2020

Learning to Noise: Application-Agnostic Data Sharing with Local Differential Privacy.

Alex Mansbridge, Gregory Barbour, Davide Piras, Christopher Frye, Ilya Feige, David Barber

CoRR, 2020