Davide Piras - RankMe

15 papers Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Anchors no more: Using peculiar velocities to constrain H CoRR Davide Piras, Francesco Sorrenti, Ruth Durrer, Martin Kunz
2025	—	`conf`	Exploring the Early Universe with Deep Learning. EPIA (1) Emmanuel de Salis, Massimo De Santis, Davide Piras, Sambit K. Giri, Michele Bianco, Nicolas Cerardi, Philipp Denzel, Merve Selcuk-Simsek, Kelley M. Hess, M. Carmen Toribio, Franz Kirsten, Hatem Ghorbel
2025	J	`jnl`	Exploring the Early Universe with Deep Learning. CoRR Emmanuel de Salis, Massimo De Santis, Davide Piras, Sambit K. Giri, Michele Bianco, Nicolas Cerardi, Philipp Denzel, Merve Selcuk-Simsek, Kelley M. Hess, M. Carmen Toribio, Franz Kirsten, Hatem Ghorbel
2025	J	`jnl`	Transfer learning for multifidelity simulation-based inference in cosmology. CoRR A. A. Saoulis, Davide Piras, Niall Jeffrey, Alessio Spurio Mancini, A. M. G. Ferreira, Benjamin Joachimi
2025	J	`jnl`	ΛCDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum. CoRR Davide Piras, Laura Herold, Luisa Lucie-Smith, Eiichiro Komatsu
2024	J	`jnl`	Full-waveform earthquake source inversion using simulation-based inference. CoRR A. A. Saoulis, Davide Piras, Alessio Spurio Mancini, Benjamin Joachimi, A. M. G. Ferreira
2024	J	`jnl`	The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison. CoRR Davide Piras, Alicja Polanska, Alessio Spurio Mancini, Matthew A. Price, Jason D. McEwen
2023	J	`jnl`	A representation learning approach to probe for dynamical dark energy in matter power spectra. CoRR Davide Piras, Lucas Lombriser
2023	J	`jnl`	A robust estimator of mutual information for deep learning interpretability. Mach. Learn. Sci. Technol. Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
2023	J	`jnl`	CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulators. CoRR Davide Piras, Alessio Spurio Mancini
2022	J	`jnl`	A robust estimator of mutual information for deep learning interpretability. CoRR Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord
2022	J	`jnl`	Discovering the building blocks of dark matter halo density profiles with neural networks. CoRR Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam, Davide Piras
2022	J	`jnl`	Fast and realistic large-scale structure from machine-learning-augmented random field simulations. CoRR Davide Piras, Benjamin Joachimi, Francisco Villaescusa-Navarro
2021	J	`jnl`	Towards fast machine-learning-assisted Bayesian posterior inference of realistic microseismic events. CoRR Davide Piras, Alessio Spurio Mancini, Benjamin Joachimi, Michael P. Hobson
2020	J	`jnl`	Learning to Noise: Application-Agnostic Data Sharing with Local Differential Privacy. CoRR Alex Mansbridge, Gregory Barbour, Davide Piras, Christopher Frye, Ilya Feige, David Barber