---
title: "Google DeepMind — research, people and papers"
description: "Google DeepMind (London, United Kingdom): 29 works on the Elamur Research site, 28 people with a page, 74 823 citations; its topics, units and the…"
canonical: "https://research.elamur.ai/free/en/companies/google-deepmind/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/companies/google-deepmind/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [companies](https://md.research.elamur.ai/free/en/companies/) / Google DeepMind

# Google DeepMind

Company [London](https://md.research.elamur.ai/free/en/agglomerations/london/), United Kingdomin the agglomeration of [London](https://md.research.elamur.ai/free/en/agglomerations/london/)

- [Website](https://deepmind.google)
- [ROR](https://ror.org/00971b260)
- [OpenAlex](https://openalex.org/I4210090411)

[**29** works in our library](https://md.research.elamur.ai/free/en/companies/google-deepmind/works/) · [**28** authors with a page](https://md.research.elamur.ai/free/en/companies/google-deepmind/authors/) · [**74 823** citations of these works](https://md.research.elamur.ai/free/en/companies/google-deepmind/works/) · [**11 917** citations in our library](https://md.research.elamur.ai/free/en/companies/google-deepmind/works/)

## People (28)

Authors with a page here who worked or studied at Google DeepMind, confirmed by their records or by their bylines: first those whose cited work was done most here; beside each, their citations.

- [Olaf Ronneberger](https://md.research.elamur.ai/free/en/authors/olaf-ronneberger/) — 2016–2024 on 24 papers · 2 papers here · 46 711 citations
- [Anna Potapenko](https://md.research.elamur.ai/free/en/authors/anna-potapenko/) — current · 2020–2024 on 7 papers · 2 papers here · 43 790 citations
- [Oriol Vinyals](https://md.research.elamur.ai/free/en/authors/oriol-vinyals/) — 2016–2024 on 32 papers · 13 papers here · 84 926 citations
- [Koray Kavukcuoglu](https://md.research.elamur.ai/free/en/authors/koray-kavukcuoglu/) — 2013–2022 on 35 papers · 2 papers here · 19 961 citations
- [Felix Hill](https://md.research.elamur.ai/free/en/authors/felix-hill/) — 2017–2024 on 20 papers · 10 papers here · 14 436 citations
- [Chris Dyer](https://md.research.elamur.ai/free/en/authors/chris-dyer/) — 2016–2023 on 30 papers · 27 papers here · 25 459 citations
- [Phil Blunsom](https://md.research.elamur.ai/free/en/authors/phil-blunsom/) — 2014–2023 on 25 papers · 11 papers here · 12 162 citations
- [Sebastian Ruder](https://md.research.elamur.ai/free/en/authors/sebastian-ruder/) — 2019–2023 on 33 papers · 19 papers here · 16 227 citations
- [Karl Moritz Hermann](https://md.research.elamur.ai/free/en/authors/karl-moritz-hermann/) — current · 2015–2020 on 8 papers · 5 papers here · 6 874 citations
- [Pushmeet Kohli](https://md.research.elamur.ai/free/en/authors/pushmeet-kohli/) — current · 2016–2026 on 84 papers · employment (Wikidata) · 4 papers here · 7 310 citations

[All 28 people →](https://md.research.elamur.ai/free/en/companies/google-deepmind/authors/)

**Also published with this affiliation (170)**

Matched by the bylines of their papers, not confirmed: few papers there, or a small part of their work.

- [Nate Kushman](https://md.research.elamur.ai/free/en/authors/nate-kushman/) — 2022 on 2 papers · 3 papers here · 6 247 citations
- [Tomáš Kočiský](https://md.research.elamur.ai/free/en/authors/tomas-kocisku/) — 2015–2019 on 4 papers · 2 papers here · 5 216 citations
- [Brian Ichter](https://md.research.elamur.ai/free/en/authors/brian-ichter/) — 2023–2024 on 8 papers · 3 papers here · 12 519 citations
- [Dipanjan Das](https://md.research.elamur.ai/free/en/authors/dipanjan-das/) — 2022–2024 on 9 papers · 17 papers here · 17 196 citations
- [Michael Collins](https://md.research.elamur.ai/free/en/authors/michael-collins/) — 2023–2024 on 4 papers · 21 papers here · 20 822 citations
- [Slav Petrov](https://md.research.elamur.ai/free/en/authors/slav-petrov/) — 2023 on 2 papers · 13 papers here · 18 720 citations
- [Simon Kornblith](https://md.research.elamur.ai/free/en/authors/simon-kornblith/) — 2023–2024 on 3 papers · 4 papers here · 9 118 citations
- [Erich Elsen](https://md.research.elamur.ai/free/en/authors/erich-elsen/) — 2020–2021 on 3 papers · 2 papers here · 4 135 citations
- [Juraj Gottweis](https://md.research.elamur.ai/free/en/authors/juraj-gottweis/) — 2023–2024 on 2 papers · 2 papers here · 6 867 citations
- [Matthew Lamm](https://md.research.elamur.ai/free/en/authors/matthew-lamm/) — 2023 on 2 papers · 4 papers here · 6 479 citations
- [Rohin Shah](https://md.research.elamur.ai/free/en/authors/rohin-shah/) — current · 2023–2026 on 3 papers · 2 papers here · 2 686 citations
- [Aviral Kumar](https://md.research.elamur.ai/free/en/authors/aviral-kumar/) — 2024 on 3 papers · 3 papers here · 6 716 citations
- [Yuan Cao](https://md.research.elamur.ai/free/en/authors/yuan-cao/) — 2023–2024 on 2 papers · 5 papers here · 9 261 citations
- [Mirella Lapata](https://md.research.elamur.ai/free/en/authors/mirella-lapata/) — 2022–2025 on 11 papers · 27 papers here · 14 560 citations
- [Kevin Clark](https://md.research.elamur.ai/free/en/authors/kevin-clark/) — 2023–2024 on 2 papers · 7 papers here · 3 225 citations
- [Dian Yu](https://md.research.elamur.ai/free/en/authors/dian-yu/) — 2023–2024 on 2 papers · 8 papers here · 9 788 citations
- [Pang Wei Koh](https://md.research.elamur.ai/free/en/authors/pang-wei-koh/) — 2023–2024 on 2 papers · 2 papers here · 6 960 citations
- [Yu Zhang](https://md.research.elamur.ai/free/en/authors/yu-zhang/) — 2023–2024 on 2 papers · 11 papers here · 13 995 citations
- [Rishabh Agarwal](https://md.research.elamur.ai/free/en/authors/rishabh-agarwal/) — 2022–2024 on 4 papers · 7 papers here · 3 672 citations
- [Vitaly Nikolaev](https://md.research.elamur.ai/free/en/authors/vitaly-nikolaev/) — 2023 on 2 papers · 3 papers here · 3 497 citations
- [Hannah Rashkin](https://md.research.elamur.ai/free/en/authors/hannah-rashkin/) — current · 2022–2025 on 11 papers · 6 papers here · 5 599 citations
- [Shashi Narayan](https://md.research.elamur.ai/free/en/authors/shashi-narayan/) — current · 2023–2024 on 2 papers · 7 papers here · 6 501 citations
- [Chris Alberti](https://md.research.elamur.ai/free/en/authors/chris-alberti/) — 2021–2024 on 7 papers · 6 papers here · 12 063 citations
- [Pengcheng Yin](https://md.research.elamur.ai/free/en/authors/pengcheng-yin/) — 2023–2024 on 4 papers · 4 papers here · 7 763 citations
- [Yee Whye Teh](https://md.research.elamur.ai/free/en/authors/yee-whye-teh/) — 2017–2025 on 21 papers · 2 papers here · 6 583 citations

[All of them →](https://md.research.elamur.ai/free/en/companies/google-deepmind/authors/)

## Works in our library (29)

The most cited first (OpenAlex citations plus our library's).

- [Highly accurate protein structure prediction with AlphaFold](https://md.research.elamur.ai/free/en/papers/jumper-2021-highly-accurate-protein-structure-prediction/) — John Jumper, Richard Evans, Alexander Pritzel, et al. · 2021 · 43 470 citations
- [GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/wang-2018-glue-multi-task-benchmark-analysis/) — Alex Wang, Amanpreet Singh, Julian Michael, et al. · 2018 · 7 141 citations
- [Large Language Models Encode Clinical Knowledge](https://md.research.elamur.ai/free/en/papers/singhal-2022-large-language-models-encode-clinical/) — Karan Singhal, Shekoofeh Azizi, Tao Tu, et al. · 2022 · 4 464 citations
- [Teaching Machines to Read and Comprehend](https://md.research.elamur.ai/free/en/papers/hermann-2015-teaching-machines-read-comprehend/) — Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, et al. · 2015 · 3 806 citations
- [Stochastic Backpropagation and Approximate Inference in Deep Generative Models](https://md.research.elamur.ai/free/en/papers/rezende-2014-stochastic-backpropagation-approximate-inference-deep/) — Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra · 2014 · 2 586 citations
- [Emergent Abilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/wei-2022-emergent-abilities-large-language-models/) — Jason Wei, Yi Tay, Rishi Bommasani, et al. · 2022 · 2 215 citations
- [SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems](https://md.research.elamur.ai/free/en/papers/wang-2019-superglue-stickier-benchmark-general-purpose/) — Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al. · 2019 · 2 187 citations
- [Competition-Level Code Generation with AlphaCode](https://md.research.elamur.ai/free/en/papers/li-2022-competition-level-code-generation-alphacode/) — Yujia Li, David Choi, Junyoung Chung, et al. · 2022 · 1 543 citations
- [The NarrativeQA Reading Comprehension Challenge](https://md.research.elamur.ai/free/en/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/) — Tomáš Kočiský, Jonathan Schwarz, Phil Blunsom, et al. · 2018 · 1 026 citations
- [Universal and Transferable Adversarial Attacks on Aligned Language Models](https://md.research.elamur.ai/free/en/papers/zou-2023-universal-transferable-adversarial-attacks-aligned/) — Andy Zou, Zifan Wang, Nicholas Carlini, et al. · 2023 · 951 citations

[All 29 works →](https://md.research.elamur.ai/free/en/companies/google-deepmind/works/)

## Topics

What its works here are about; the number is its works on the topic.

[🧠 Language models & pretraining 8](https://md.research.elamur.ai/free/en/topics/language-models/) · [❓ Question answering 3](https://md.research.elamur.ai/free/en/topics/question-answering/) · [🌍 Multilingual & cross-lingual NLP 2](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [📏 Evaluation & benchmarks 2](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [🏷️ Named entity recognition 1](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [🔗 Coreference resolution 1](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [✍️ Text generation 1](https://md.research.elamur.ai/free/en/topics/text-generation/) · [🌱 Low-resource languages 1](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [🕸️ Knowledge graphs & ontologies 1](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [💻 Code & programming languages 1](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [🛡️ Bias, fairness & safety 1](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [🖼️ Vision & language 1](https://md.research.elamur.ai/free/en/topics/multimodal/)

Fields: [Natural language processing](https://md.research.elamur.ai/free/en/shelves/nlp/) (9) · [Linguistics & languages](https://md.research.elamur.ai/free/en/shelves/linguistics/) (5) · [Mathematics & statistics](https://md.research.elamur.ai/free/en/shelves/mathematics/) (4) · [AI & machine learning](https://md.research.elamur.ai/free/en/shelves/ai/) (3) · [Computing & GPUs](https://md.research.elamur.ai/free/en/shelves/computing/) (2)

## Collaborates with

Institutions on the bylines of the same works here; the number is the works they share.

[Google 12](https://md.research.elamur.ai/free/en/companies/google/) [Stanford University 4](https://md.research.elamur.ai/free/en/universities/stanford-university/) [University of California, Berkeley 4](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) [Meta 1](https://md.research.elamur.ai/free/en/companies/meta/) [University of Washington 4](https://md.research.elamur.ai/free/en/universities/university-of-washington/) [University of Oxford 6](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) [Carnegie Mellon University 5](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) [University of Cambridge 4](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) [Microsoft 1](https://md.research.elamur.ai/free/en/companies/microsoft/) [Johns Hopkins University 1](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) [New York University 4](https://md.research.elamur.ai/free/en/universities/new-york-university/) [University of Amsterdam 1](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/)

## Parent and units

**Part of** [Alphabet](https://md.research.elamur.ai/free/en/companies/alphabet/)

From the Research Organization Registry (ROR); those with a page here are linked.

Works and people from the bylines of the papers (OpenAlex): a person listed here worked or studied at Google DeepMind; employment or education is named only where the person's ORCID record or Wikidata says so. Institution data from ROR and OpenAlex.