World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
198172
World Ranking
1530
National Ranking
86

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Koray Kavukcuoglu is a researcher affiliated with DeepMind in the United Kingdom. Their work spans several interdisciplinary fields, primarily focusing on computer science and biochemistry, genetics, and molecular biology. Their research integrates artificial intelligence techniques with biological sciences, particularly in protein structure and dynamics.

The scientist's main fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Within these fields, their research covers several subfields such as:

  • Artificial Intelligence
  • Molecular Biology
  • Materials Chemistry
  • Nuclear and High Energy Physics
  • Information Systems

Their primary research topics involve:

  • Protein Structure and Dynamics
  • Topic Modeling
  • Natural Language Processing Techniques
  • Machine Learning in Bioinformatics
  • Enzyme Structure and Function
  • Machine Learning and Data Classification
  • Plant biochemistry and biosynthesis

Koray Kavukcuoglu has authored several influential papers that have appeared in prominent publication venues. Notable recent papers include:

  • Highly accurate protein structure prediction with AlphaFold, 2021, Nature
  • Bootstrap your own latent: A new approach to self-supervised Learning, 2020, arXiv (Cornell University)
  • Improved protein structure prediction using potentials from deep learning, 2020, Nature
  • Highly accurate protein structure prediction for the human proteome, 2021, Nature
  • Magnetic control of tokamak plasmas through deep reinforcement learning, 2022, Nature

The frequent publication venues for their work are:

  • arXiv (Cornell University)
  • Nature
  • Proteins Structure Function and Bioinformatics
  • Science

The scientific collaborations of Koray Kavukcuoglu have included several notable co-authors, reflecting the interdisciplinary and collaborative nature of their research. Frequent co-authors are:

  • Demis Hassabis
  • Oriol Vinyals
  • Pushmeet Kohli
  • Laurent Sifre
  • John Jumper

Best Publications

  • Highly accurate protein structure prediction with AlphaFold

    John M. Jumper;Richard O. Evans;Alexander Pritzel;Tim Green

  • Human-level control through deep reinforcement learning

    Volodymyr Mnih;Koray Kavukcuoglu;David Silver;Andrei A. Rusu

  • Mastering the game of Go with deep neural networks and tree search

    David Silver;Aja Huang;Christopher J. Maddison;Arthur Guez

  • Natural Language Processing (Almost) from Scratch

    Ronan Collobert;Jason Weston;Léon Bottou;Michael Karlen

  • Playing Atari with Deep Reinforcement Learning

    Volodymyr Mnih;Koray Kavukcuoglu;David Silver;Alex Graves

  • Asynchronous methods for deep reinforcement learning

    Volodymyr Mnih;Adrià Puigdomènech Badia;Mehdi Mirza;Alex Graves

  • Spatial transformer networks

    Max Jaderberg;Karen Simonyan;Andrew Zisserman;Koray Kavukcuoglu

  • Matching networks for one shot learning

    Oriol Vinyals;Charles Blundell;Timothy Lillicrap;Koray Kavukcuoglu

  • WaveNet: A Generative Model for Raw Audio

    Aäron van den Oord;Sander Dieleman;Heiga Zen;Karen Simonyan

  • Neural Discrete Representation Learning

    Aaron van den Oord;Oriol Vinyals;koray kavukcuoglu

  • Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

    Jean-Bastien Grill;Florian Strub;Florent Altché;Corentin Tallec

  • Grandmaster level in StarCraft II using multi-agent reinforcement learning.

    Oriol Vinyals;Igor Babuschkin;Wojciech M. Czarnecki;Michaël Mathieu

  • Improved protein structure prediction using potentials from deep learning

    Andrew W. Senior;Richard Evans;John Jumper;James Kirkpatrick

  • Recurrent Models of Visual Attention

    Volodymyr Mnih;Nicolas Heess;Alex Graves;koray kavukcuoglu

  • Highly accurate protein structure prediction for the human proteome

    Kathryn Tunyasuvunakool;Jonas Adler;Zachary Wu;Tim Green

  • What is the best multi-stage architecture for object recognition?

    Kevin Jarrett;Koray Kavukcuoglu;Marc'Aurelio Ranzato;Yann LeCun

  • Convolutional networks and applications in vision

    Yann LeCun;Koray Kavukcuoglu;Clement Farabet

  • Weight Uncertainty in Neural Network

    Charles Blundell;Julien Cornebise;Koray Kavukcuoglu;Daan Wierstra

  • Conditional image generation with PixelCNN decoders

    Aäron van den Oord;Nal Kalchbrenner;Oriol Vinyals;Lasse Espeholt

  • Torch7: A Matlab-like Environment for Machine Learning

    Ronan Collobert;Koray Kavukcuoglu;Clément Farabet

  • Weight Uncertainty in Neural Networks

    Charles Blundell;Julien Cornebise;Koray Kavukcuoglu;Daan Wierstra

Frequent Co-Authors

Volodymyr Mnih
Volodymyr Mnih DeepMind (United Kingdom)
Karen Simonyan
Karen Simonyan DeepMind (United Kingdom)
Oriol Vinyals
Oriol Vinyals DeepMind (United Kingdom)
Alex Graves
Alex Graves Google (United States)
David Silver
David Silver DeepMind (United Kingdom)
Aaron van den Oord
Aaron van den Oord Google (United States)
Yann LeCun
Yann LeCun Facebook (United States)
Demis Hassabis
Demis Hassabis Google (United States)
Razvan Pascanu
Razvan Pascanu DeepMind (United Kingdom)
Rémi Munos
Rémi Munos French Institute for Research in Computer Science and Automation - INRIA

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