◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Roberto Trotta

4 papers hereh-index 212 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.CO3
  • astro-ph.IM1
same name
  • Roberto Trotta — 7 papers, h 4
  • Roberto Trotta — 4 papers, h 4
  • Roberto Trotta — 4 papers, h 1
  • Roberto Trotta — 3 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedLarge, fast and accurate HI intensity maps with latent overlap diffusion

2 citations · 2 across the 1 of their papers we have counts for

collaborators

4 papers

astro-ph.CO2026★ 2 cited

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…

astro-ph.IM2026

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…

astro-ph.CO2026

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…

astro-ph.CO2025

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 &…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.