6 citations · 10 across the 5 of their papers we have counts for
5 papers
The indiscriminate adoption of AI threatens the foundations of academia
Roberto Trotta
Artificial intelligence offers much promise, but its use in scientific research should be restrained so that the primary aim of academia -- advancing knowledge for humans -- is saf…
Cosmo-FOLD: Fast generation and upscaling of field-level cosmological maps with overlap latent diffusion
Satvik Mishra, Roberto Trotta, Matteo Viel
We demonstrate the capabilities of probabilistic diffusion models to reduce dramatically the computational cost of expensive hydrodynamical simulations to study the relationship be…
Large, fast and accurate HI intensity maps with latent overlap diffusion
Satvik Mishra, Roberto Trotta, Matteo Viel
The distribution of 21 cm emission from neutral hydrogen is a powerful cosmological and astrophysical probe, as it traces the underlying dark matter and cold gas distributions thro…
JERALD: high-fidelity dark matter, stellar mass and neutral hydrogen maps from fast N-body simulations
Mauro Rigo, Roberto Trotta, Matteo Viel
We present a new code and approach, JERALD -- JAX Enhanced Resolution Approximate Lagrangian Dynamics -- , that improves on and extends the Lagrangian Deep Learning method of Dai &…
Parameter estimation from Ly forest in Fourier space using Information Maximising Neural Network
Soumak Maitra, Stefano Cristiani, Matteo Viel +2
We aim to present a robust parameter estimation with simulated Lya forest spectra from Sherwood-Relics simulations suite using Information Maximizing Neural Network(IMNN) to extrac…