--- title: "Matthieu Devin — author profile and papers — Elamur Research" description: "Matthieu Devin, Google: 2 papers on Elamur Research (2016), h-index 9 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/matthieu-devin/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/matthieu-devin/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Matthieu Devin # Matthieu Devin Matthieu Devin has 2 papers in our library, in 2016; often with [Andy Davis](https://md.research.elamur.ai/free/en/authors/andy-davis/), [Jeff Dean](https://md.research.elamur.ai/free/en/authors/jeff-dean/), [Martin Abadi](https://md.research.elamur.ai/free/en/authors/martin-abadi/). 2 papers in our library · 2016 [OpenAlex](https://openalex.org/A5004386681) · [**h-index 9**](https://openalex.org/authors/A5004386681) · [17 works](https://openalex.org/works?filter=author.id:A5004386681) · [24,919 citations](https://openalex.org/works?filter=author.id:A5004386681&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/matthieu-devin/#papers) · [🔗 Cited 1,647 times in our library](https://md.research.elamur.ai/free/en/authors/matthieu-devin/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #108](https://md.research.elamur.ai/free/en/paper-stars/page/2/#star-108) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Matthieu+Devin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Matthieu+Devin) · [dblp](https://dblp.org/search?q=Matthieu+Devin) · [ACL Anthology](https://aclanthology.org/search/?q=Matthieu+Devin) ## Affiliations [🏢**Google** Mountain View · United States 2012–2021 · 6 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Hardware and Architecture · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Machine learning · 2 works](https://md.research.elamur.ai/free/en/concepts/machine-learning/) ## Works by year ### 2010s [**2016** 2 papers](https://md.research.elamur.ai/free/en/authors/matthieu-devin/year/2016/) ## Papers The most cited first (OpenAlex and our library). 1. **[TensorFlow: A system for large-scale machine learning](https://md.research.elamur.ai/free/en/papers/abadi-2016-tensorflow-system-large-scale-machine/)** *(2016 · 12,711 citations)* The paper presents TensorFlow, Google Brain's successor to its earlier DistBelief system. It addresses a gap among existing tools. Single-machine frameworks such as Caffe, Theano and Torch are flexible but do not scale across clusters. Parameter-server systems scale, but they hard-code how shared model state is… 2. **[TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems](https://md.research.elamur.ai/free/en/papers/abadi-2016-tensorflow-large-scale-machine-learning/)** *(2016 · 9,512 citations)* Google's first distributed deep-learning system, DistBelief, was powerful but rigid. Separate tools for large-scale training and small-scale deployment also caused maintenance problems and leaky abstractions. TensorFlow, the second-generation system, addresses this with one programming model that runs on phones… ## All works 5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. [**TensorFlow: A system for large-scale machine learning arXiv:1605.08695**Martin Abadi, Paul Barham, Jianmin Chen, et al.*2016 · 12,711 citations*](https://md.research.elamur.ai/free/en/papers/abadi-2016-tensorflow-system-large-scale-machine/) 2. [**TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems arXiv:1603.04467**Martín Abadi, Ashish Agarwal, Paul Barham, et al.*2016 · 9,512 citations*](https://md.research.elamur.ai/free/en/papers/abadi-2016-tensorflow-large-scale-machine-learning/) 3. **[Large Scale Distributed Deep Networks ↗](https://openalex.org/W2168231600) no summary yet**Jay B. Dean et al.*2012 · 3,047 citations* 4. **[Building high-level features using large scale unsupervised learning ↗](https://openalex.org/W2253807446) International Conference on Machine Learning · no summary yet**Marc’Aurelio Ranzato et al.*2012 · 228 citations* 5. **[Appendix: Building high-level features using large scale unsupervised learning ↗](https://openalex.org/W2184557417) no summary yet**Quoc Viet Le et al.*2012 · 35 citations* ## Co-authors here 10 co-authors with a page, the most papers together first. - [Andy Davis](https://md.research.elamur.ai/free/en/authors/andy-davis/) ×2 - [Jeff Dean](https://md.research.elamur.ai/free/en/authors/jeff-dean/) ×2 - [Martin Abadi](https://md.research.elamur.ai/free/en/authors/martin-abadi/) ×2 - [Paul Barham](https://md.research.elamur.ai/free/en/authors/paul-barham/) ×2 - [Sanjay Ghemawat](https://md.research.elamur.ai/free/en/authors/sanjay-ghemawat/) ×2 - [Zhifeng Chen](https://md.research.elamur.ai/free/en/authors/zhifeng-chen/) ×2 - [Eugene Brevdo](https://md.research.elamur.ai/free/en/authors/eugene-brevdo/) - [Geoffrey Irving](https://md.research.elamur.ai/free/en/authors/geoffrey-irving/) - [Greg S. Corrado](https://md.research.elamur.ai/free/en/authors/greg-s-corrado/) - [Ian Goodfellow](https://md.research.elamur.ai/free/en/authors/ian-goodfellow/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - International Conference on Machine Learning ## Cited by Papers of our library cite their works 1,647 times (of the 149,439 papers whose bibliographies we read); [96 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/matthieu-devin/cited-by/). Updated 30 October 2026