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 2016–2024 on 24 papers 2 papers here · 46 711 citations Anna Potapenko current · 2020–2024 on 7 papers 2 papers here · 43 790 citations Oriol Vinyals 2016–2024 on 32 papers 13 papers here · 84 926 citations Koray Kavukcuoglu 2013–2022 on 35 papers 2 papers here · 19 961 citations Felix Hill 2017–2024 on 20 papers 10 papers here · 14 436 citations Chris Dyer 2016–2023 on 30 papers 27 papers here · 25 459 citations Phil Blunsom 2014–2023 on 25 papers 11 papers here · 12 162 citations Sebastian Ruder 2019–2023 on 33 papers 19 papers here · 16 227 citations Karl Moritz Hermann current · 2015–2020 on 8 papers 5 papers here · 6 874 citations Pushmeet Kohli current · 2016–2026 on 84 papers · employment (Wikidata) 4 papers here · 7 310 citations All 28 people →
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 2022 on 2 papers 3 papers here · 6 247 citations Tomáš Kočiský 2015–2019 on 4 papers 2 papers here · 5 216 citations Brian Ichter 2023–2024 on 8 papers 3 papers here · 12 519 citations Dipanjan Das 2022–2024 on 9 papers 17 papers here · 17 196 citations Michael Collins 2023–2024 on 4 papers 21 papers here · 20 822 citations Slav Petrov 2023 on 2 papers 13 papers here · 18 720 citations Simon Kornblith 2023–2024 on 3 papers 4 papers here · 9 118 citations Erich Elsen 2020–2021 on 3 papers 2 papers here · 4 135 citations Juraj Gottweis 2023–2024 on 2 papers 2 papers here · 6 867 citations Matthew Lamm 2023 on 2 papers 4 papers here · 6 479 citations Rohin Shah current · 2023–2026 on 3 papers 2 papers here · 2 686 citations Aviral Kumar 2024 on 3 papers 3 papers here · 6 716 citations Yuan Cao 2023–2024 on 2 papers 5 papers here · 9 261 citations Mirella Lapata 2022–2025 on 11 papers 27 papers here · 14 560 citations Kevin Clark 2023–2024 on 2 papers 7 papers here · 3 225 citations Dian Yu 2023–2024 on 2 papers 8 papers here · 9 788 citations Pang Wei Koh 2023–2024 on 2 papers 2 papers here · 6 960 citations Yu Zhang 2023–2024 on 2 papers 11 papers here · 13 995 citations Rishabh Agarwal 2022–2024 on 4 papers 7 papers here · 3 672 citations Vitaly Nikolaev 2023 on 2 papers 3 papers here · 3 497 citations Hannah Rashkin current · 2022–2025 on 11 papers 6 papers here · 5 599 citations Shashi Narayan current · 2023–2024 on 2 papers 7 papers here · 6 501 citations Chris Alberti 2021–2024 on 7 papers 6 papers here · 12 063 citations Pengcheng Yin 2023–2024 on 4 papers 4 papers here · 7 763 citations Yee Whye Teh 2017–2025 on 21 papers 2 papers here · 6 583 citations All of them →
Works in our library (29) The most cited first (OpenAlex citations plus our library's).
Highly accurate protein structure prediction with AlphaFold John Jumper, Richard Evans, Alexander Pritzel, et al. 2021 · 43 470 citations GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Wang, Amanpreet Singh, Julian Michael, et al. 2018 · 7 141 citations Large Language Models Encode Clinical Knowledge Karan Singhal, Shekoofeh Azizi, Tao Tu, et al. 2022 · 4 464 citations Teaching Machines to Read and Comprehend Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, et al. 2015 · 3 806 citations Stochastic Backpropagation and Approximate Inference in Deep Generative Models Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra 2014 · 2 586 citations Emergent Abilities of 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 Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al. 2019 · 2 187 citations Competition-Level Code Generation with AlphaCode Yujia Li, David Choi, Junyoung Chung, et al. 2022 · 1 543 citations The 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 Andy Zou, Zifan Wang, Nicholas Carlini, et al. 2023 · 951 citations All 29 works →
Topics What its works here are about; the number is its works on the topic.
🧠 Language models & pretraining8 ❓ Question answering3 🌍 Multilingual & cross-lingual NLP2 📏 Evaluation & benchmarks2 🏷️ Named entity recognition1 🔗 Coreference resolution1 ✍️ Text generation1 🌱 Low-resource languages1 🕸️ Knowledge graphs & ontologies1 💻 Code & programming languages1 🛡️ Bias, fairness & safety1 🖼️ Vision & language1
Fields: Natural language processing (9) · Linguistics & languages (5) · Mathematics & statistics (4) · AI & machine learning (3) · Computing & GPUs (2)
Collaborates with Institutions on the bylines of the same works here; the number is the works they share.
Google12 Stanford University4 University of California, Berkeley4 Meta1 University of Washington4 University of Oxford6 Carnegie Mellon University5 University of Cambridge4 Microsoft1 Johns Hopkins University1 New York University4 University of Amsterdam1
Parent and units Part of 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.
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