Davide Piras

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Mutual Information

Deformable Surface

Robust Estimator

Top Venues

Mach. Learn. Sci. Technol.

Publications

Davide Piras, Alicja Polanska, Alessio Spurio Mancini, Matthew A. Price, Jason D. McEwen
The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison. CoRR (2024)
Davide Piras, Lucas Lombriser
A representation learning approach to probe for dynamical dark energy in matter power spectra. CoRR (2023)
Davide Piras, A. Spurio Mancini
CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulators. CoRR (2023)
Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
A robust estimator of mutual information for deep learning interpretability. Mach. Learn. Sci. Technol. 4 (2) (2023)
Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
A robust estimator of mutual information for deep learning interpretability. CoRR (2022)
Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam, Davide Piras
Discovering the building blocks of dark matter halo density profiles with neural networks. CoRR (2022)
Davide Piras, Benjamin Joachimi, Francisco Villaescusa-Navarro
Fast and realistic large-scale structure from machine-learning-augmented random field simulations. CoRR (2022)
Davide Piras, Alessio Spurio Mancini, Benjamin Joachimi, Michael P. Hobson
Towards fast machine-learning-assisted Bayesian posterior inference of realistic microseismic events. CoRR (2021)
Alex Mansbridge, Gregory Barbour, Davide Piras, Christopher Frye, Ilya Feige, David Barber
Learning to Noise: Application-Agnostic Data Sharing with Local Differential Privacy. CoRR (2020)