Davide Piras

Davide Piras

University College London

H-index: 6

Europe-United Kingdom

About Davide Piras

Davide Piras, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University College London, specializes in the field of Cosmology, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Toward Machine-learning-based Metastudies: Applications to Cosmological Parameters

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

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

Towards Bayesian Full-Waveform Source Inversion using Simulation-Based Inference

A robust estimator of mutual information for deep learning interpretability

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

Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism

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

Davide Piras Information

University

Position

PhD Student

Citations(all)

158

Citations(since 2020)

155

Cited By

25

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Davide Piras Skills & Research Interests

Cosmology

Machine Learning

Top articles of Davide Piras

Toward Machine-learning-based Metastudies: Applications to Cosmological Parameters

The Astrophysical Journal Supplement Series

2023/11/13

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

arXiv preprint arXiv:2310.10717

2023/10/16

Davide Piras
Davide Piras

H-Index: 1

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

arXiv preprint arXiv:2305.06347

2023/5/10

Towards Bayesian Full-Waveform Source Inversion using Simulation-Based Inference

2023/2/22

A robust estimator of mutual information for deep learning interpretability

Machine Learning: Science and Technology

2023/4/11

Davide Piras
Davide Piras

H-Index: 1

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

Monthly Notices of the Royal Astronomical Society

2023/3

Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism

Geophysical Journal International

2023/2

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

Physical Review D

2022/5/27

Davide Piras
Davide Piras

H-Index: 1

CosmoPower: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Monthly Notices of the Royal Astronomical Society

2022/4

Accelerating Bayesian microseismic event location with deep learning

Solid Earth

2021/7/29

Alessio Spurio Mancini
Alessio Spurio Mancini

H-Index: 5

Davide Piras
Davide Piras

H-Index: 1

Representation Learning for High-Dimensional Data Collection under Local Differential Privacy

arXiv preprint arXiv:2010.12464

2020/10/23

See List of Professors in Davide Piras University(University College London)

Co-Authors

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