---
title: "Adam Paszke — papers"
description: "Adam Paszke: 2 papers in the Elamur Research library (2019–2020) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/adam-paszke/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/adam-paszke/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Adam Paszke

# Adam Paszke

2 papers on this site (2019–2020)

[OpenAlex](https://openalex.org/A5004759214) · [ORCID](https://orcid.org/0000-0002-7665-4559) · h-index 12 · 26 works · 28501 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [PyTorch Distributed: Experiences on Accelerating Data Parallel Training](https://md.research.elamur.ai/free/en/papers/li-2020-pytorch-distributed-experiences-accelerating-data/) — Shen Li, Yanli Zhao, Rohan Varma, et al. · 2020
- [PyTorch: An Imperative Style, High-Performance Deep Learning Library](https://md.research.elamur.ai/free/en/papers/paszke-2019-pytorch-imperative-style-high-performance/) — Adam Paszke, Sam Gross, Francisco Massa, et al. · 2019
