World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
26158
World Ranking
3946
National Ranking
150

Overview

Jeff Clune is affiliated with the University of British Columbia in Canada and specializes in computer science, with a strong focus on artificial intelligence and related subfields. Their research encompasses a range of topics that include reinforcement learning in robotics, advanced memory and neural computing, evolutionary algorithms and applications, domain adaptation and few-shot learning, adversarial robustness in machine learning, evolutionary game theory and cooperation, as well as EEG and brain-computer interfaces.

Their publication record includes contributions to various prominent venues. The most frequent venue is arXiv (Cornell University), with 25 publications. Other outlets include Nature Machine Intelligence, Science, Artificial Life, and Ecology and Evolution.

Some of the recent notable papers authored by Clune and collaborators include:

  • "Biological underpinnings for lifelong learning machines" (2022, Nature Machine Intelligence)
  • "Managing extreme AI risks amid rapid progress" (2024, Science)
  • "The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities" (2020, Artificial Life)
  • "The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery" (2024, arXiv (Cornell University))
  • "Learning to Continually Learn" (2020, arXiv (Cornell University))

Jeff Clune has collaborated frequently with several co-authors, including Kenneth O. Stanley, Joel Lehman, Nick Cheney, Shengran Hu, and Jenny Zhang. These collaborations indicate a network of researchers with shared interests in artificial intelligence and evolutionary computation.

The primary fields and subfields where Clune has notable contributions are:

  • Computer Science
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience
  • Electrical and Electronic Engineering
  • Cellular and Molecular Neuroscience

Research topics explored by Clune include:

  • Reinforcement Learning in Robotics
  • Advanced Memory and Neural Computing
  • Evolutionary Algorithms and Applications
  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning
  • Evolutionary Game Theory and Cooperation
  • EEG and Brain-Computer Interfaces

Best Publications

  • How transferable are features in deep neural networks

    Jason Yosinski;Jeff Clune;Yoshua Bengio;Hod Lipson

  • Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

    Anh Nguyen;Jason Yosinski;Jeff Clune

  • Understanding Neural Networks Through Deep Visualization

    Jason Yosinski;Jeff Clune;Anh Mai Nguyen;Thomas J. Fuchs

  • Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning.

    Mohammad Sadegh Norouzzadeh;Anh Nguyen;Margaret Kosmala;Alexandra Swanson

  • Robots that can adapt like animals

    Antoine Cully;Jeff Clune;Danesh Tarapore;Danesh Tarapore;Danesh Tarapore;Jean-Baptiste Mouret

  • The evolutionary origins of modularity

    Jeff Clune;Jeff Clune;Jean-Baptiste Mouret;Hod Lipson

  • Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

    Felipe Petroski Such;Vashisht Madhavan;Edoardo Conti;Joel Lehman

  • Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space

    Anh Nguyen;Jeff Clune;Yoshua Bengio;Alexey Dosovitskiy

  • Designing neural networks through neuroevolution

    Kenneth O. Stanley;Kenneth O. Stanley;Jeff Clune;Jeff Clune;Joel Lehman;Risto Miikkulainen

  • Illuminating search spaces by mapping elites

    Jean-Baptiste Mouret;Jeff Clune

  • Automatically identifying wild animals in camera trap images with deep learning.

    Mohammad Sadegh Norouzzadeh;Anh Nguyen;Margaret Kosmala;Ali Swanson

  • Synthesizing the preferred inputs for neurons in neural networks via deep generator networks

    Anh Mai Nguyen;Alexey Dosovitskiy;Jason Yosinski;Thomas Brox

  • Machine learning to classify animal species in camera trap images: Applications in ecology

    Michael A. Tabak;Michael A. Tabak;Mohammad S. Norouzzadeh;David W. Wolfson;Steven J. Sweeney

  • Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding

    Nick Cheney;Robert MacCurdy;Jeff Clune;Hod Lipson

  • First return, then explore

    Adrien Ecoffet;Adrien Ecoffet;Joost Huizinga;Joost Huizinga;Joel Lehman;Joel Lehman;Kenneth O. Stanley;Kenneth O. Stanley

  • Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding

    Nick Cheney;Robert MacCurdy;Jeff Clune;Hod Lipson

  • Go-Explore: a New Approach for Hard-Exploration Problems

    Adrien Ecoffet;Joost Huizinga;Joel Lehman;Kenneth O. Stanley

  • Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents

    Edoardo Conti;Vashisht Madhavan;Felipe Petroski Such;Joel Lehman

  • Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks

    Anh Mai Nguyen;Jason Yosinski;Jeff Clune

  • The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

    Joel Lehman;Jeff Clune;Dusan Misevic;Christoph Adami

  • The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

    Joel Lehman;Jeff Clune;Dusan Misevic;Christoph Adami

  • Robots that can adapt like natural animals.

    Antoine Cully;Jeff Clune;Jean-Baptiste Mouret

Frequent Co-Authors

Kenneth O. Stanley
Kenneth O. Stanley University of Central Florida
Hod Lipson
Hod Lipson Columbia University
Charles Ofria
Charles Ofria Michigan State University
Jean-Baptiste Mouret
Jean-Baptiste Mouret University of Lorraine
Alexey Dosovitskiy
Alexey Dosovitskiy Google (United States)
Sebastian Risi
Sebastian Risi IT University of Copenhagen
Yoshua Bengio
Yoshua Bengio University of Montreal
Kurt C. VerCauteren
Kurt C. VerCauteren United States Department of Agriculture
Risto Miikkulainen
Risto Miikkulainen The University of Texas at Austin

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