---
title: "Antonio Orvieto — papers of 2023 — 1 paper, the most cited first"
description: "Antonio Orvieto — papers of 2023: 1 paper on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/antonio-orvieto/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/antonio-orvieto/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Antonio Orvieto](https://md.research.elamur.ai/free/en/authors/antonio-orvieto/) / 2023

# Antonio Orvieto — papers of 2023 — 1 paper, the most cited first

1 paper · [all years of Antonio Orvieto](https://md.research.elamur.ai/free/en/authors/antonio-orvieto/#years)

- [Resurrecting Recurrent Neural Networks for Long Sequences arXiv:2303.06349](https://md.research.elamur.ai/free/en/papers/orvieto-2023-resurrecting-recurrent-neural-networks-long/) — Antonio Orvieto, Samuel L Smith, Albert Gu, et al. · 2023 · 118 citations