Université de GenèveDépartement de Physique ThéoriqueCAP Genève

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Davide Piras

Davide Piras's picture
Position: 
Former member
Web: 
https://dpiras.github.io/
Email: 
Davide.Piras@unige.ch

Publication listings: 
inSPIRE, Google Scholar
Topics: 
Machine Learning, Cosmic Large Scale Structure, Bayesian inference

Recent publications and presentations:

A representation learning approach to probe for dynamical dark energy in matter power spectra
Date: 17. October 2023
Members involved: Davide Piras, Lucas Lombriser
Topics: Large-scale structure, Dark energy, Non-linear Power Spectrum, Machine Learning
Type: Publication
A robust estimator of mutual information for deep learning interpretability
Date: 24. March 2023
Members involved: Davide Piras
Topics: Machine Learning, Information Theory
Type: Publication
Fast and realistic large-scale structure from machine-learning-augmented random field simulations
Date: 3. March 2023
Members involved: Davide Piras
Topics: Machine Learning, Cosmic Large Scale Structure, N-body simulations
Type: Publication

Address

Département de Physique Théorique
Université de Genève
24, quai Ernest Ansermet
1211 Genève 4
Switzerland
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