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J. Clune · SciRah

Researcher profile · Semantic Scholar

J. Clune

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J. Clune — researcher profile on SciRah

h-index: 54
Works: 121
Citations: 31K

Most-cited papers

How transferable are features in deep neural networks?
J. Yosinski, J. Clune, Yoshua Bengio, Hod Lipson
2014Neural Information Processing Systems9,648 citations
Semantic Scholar
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
Anh Totti Nguyen, J. Yosinski, J. Clune
2014Computer Vision and Pattern Recognition3,578 citations Open access
Semantic Scholar
Understanding Neural Networks Through Deep Visualization
J. Yosinski, J. Clune, Anh Totti Nguyen, Thomas J. Fuchs +1 more
2015arXiv.org1,973 citations
Semantic Scholar
Robots that can adapt like animals
Antoine Cully, J. Clune, Danesh Tarapore, Jean-Baptiste Mouret
2014Nature1,186 citations Open access
Semantic Scholar
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
M. Norouzzadeh, Anh Totti Nguyen, M. Kosmala, A. Swanson +3 more
2017Proceedings of the National Academy of Sciences of the United States of America1,166 citations Open access
Semantic Scholar
Illuminating search spaces by mapping elites
Jean-Baptiste Mouret, J. Clune
2015arXiv.org1,052 citations
Semantic Scholar
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
F. Such, Vashisht Madhavan, Edoardo Conti, J. Lehman +2 more
2017arXiv.org778 citations
Semantic Scholar
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
Anh Totti Nguyen, A. Dosovitskiy, J. Yosinski, T. Brox +1 more
2016Neural Information Processing Systems752 citations
Semantic Scholar
Designing neural networks through neuroevolution
Kenneth O. Stanley, J. Clune, J. Lehman, R. Miikkulainen
2019Nature Machine Intelligence706 citations Open access
Semantic Scholar
The evolutionary origins of modularity
J. Clune, Jean-Baptiste Mouret, Hod Lipson
2012Proceedings of the Royal Society of London. Biological Sciences632 citations Open access
Semantic Scholar
First return, then explore
Adrien Ecoffet, Joost Huizinga, J. Lehman, Kenneth O. Stanley +1 more
2020Nature490 citations Open access
Semantic Scholar
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
Bowen Baker, Ilge Akkaya, P. Zhokhov, Joost Huizinga +5 more
2022Neural Information Processing Systems478 citations Open access
Semantic Scholar
Go-Explore: a New Approach for Hard-Exploration Problems
Adrien Ecoffet, Joost Huizinga, J. Lehman, Kenneth O. Stanley +1 more
2019arXiv.org465 citations
Semantic Scholar
Machine learning to classify animal species in camera trap images: applications in ecology
M. Tabak, M. Norouzzadeh, David W. Wolfson, S. Sweeney +20 more
2018bioRxiv464 citations Open access
Semantic Scholar
Convergent Learning: Do different neural networks learn the same representations?
Yi-Xuan Li, J. Yosinski, J. Clune, Hod Lipson +1 more
2015FE@NIPS454 citations
Semantic Scholar
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti, Vashisht Madhavan, F. Such, J. Lehman +2 more
2017Neural Information Processing Systems386 citations
Semantic Scholar
Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding
Nick Cheney, R. Maccurdy, J. Clune, Hod Lipson
2013Annual Conference on Genetic and Evolutionary Computation371 citations
Semantic Scholar
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
Anh Totti Nguyen, J. Yosinski, J. Clune
2016arXiv.org361 citations
Semantic Scholar
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
Rui Wang, J. Lehman, J. Clune, Kenneth O. Stanley
2019arXiv.org335 citations
Semantic Scholar
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
J. Lehman, J. Clune, D. Misevic, C. Adami +49 more
2018Artificial Life329 citations Open access
Semantic Scholar
Biological underpinnings for lifelong learning machines
D. Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, M. Bazhenov +39 more
2022Nature Machine Intelligence316 citations Open access
Semantic Scholar
A deep active learning system for species identification and counting in camera trap images
M. Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi +2 more
2019Methods in Ecology and Evolution232 citations Open access
Semantic Scholar
Differentiable plasticity: training plastic neural networks with backpropagation
Thomas Miconi, J. Clune, Kenneth O. Stanley
2018International Conference on Machine Learning208 citations
Semantic Scholar
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
F. Such, Aditya Rawal, J. Lehman, Kenneth O. Stanley +1 more
2019International Conference on Machine Learning196 citations
Semantic Scholar
Understanding Neural Networks via Feature Visualization: A survey
Anh Nguyen, J. Yosinski, J. Clune
2019Explainable AI178 citations Open access
Semantic Scholar
Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills
K. Ellefsen, Jean-Baptiste Mouret, J. Clune
2015PLoS Comput. Biol.178 citations Open access
Semantic Scholar
Learning to Continually Learn
Shawn Beaulieu, Lapo Frati, Thomas Miconi, J. Lehman +3 more
2020European Conference on Artificial Intelligence169 citations Open access
Semantic Scholar
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Rui Wang, J. Lehman, Aditya Rawal, Jiale Zhi +3 more
2020International Conference on Machine Learning168 citations
Semantic Scholar
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
J. Clune
2019arXiv.org160 citations
Semantic Scholar
The Evolutionary Origins of Hierarchy
Henok Mengistu, Joost Huizinga, Jean-Baptiste Mouret, J. Clune
2015PLoS Comput. Biol.134 citations Open access
Semantic Scholar
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
Thomas Miconi, Aditya Rawal, J. Clune, Kenneth O. Stanley
2018International Conference on Learning Representations114 citations
Semantic Scholar
POET: open-ended coevolution of environments and their optimized solutions
Rui Wang, J. Lehman, J. Clune, Kenneth O. Stanley
2019Annual Conference on Genetic and Evolutionary Computation113 citations Open access
Semantic Scholar
Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding
Nick Cheney, R. Maccurdy, J. Clune, Hod Lipson
2014SEVO104 citations
Semantic Scholar
Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning
Anh Totti Nguyen, J. Yosinski, J. Clune
2015Annual Conference on Genetic and Evolutionary Computation102 citations
Semantic Scholar
Safe mutations for deep and recurrent neural networks through output gradients
J. Lehman, Jay Chen, J. Clune, Kenneth O. Stanley
2017Annual Conference on Genetic and Evolutionary Computation101 citations Open access
Semantic Scholar
ES is more than just a traditional finite-difference approximator
J. Lehman, Jay Chen, J. Clune, Kenneth O. Stanley
2017Annual Conference on Genetic and Evolutionary Computation100 citations Open access
Semantic Scholar
Scaling MAP-Elites to deep neuroevolution
Cédric Colas, Vashisht Madhavan, Joost Huizinga, J. Clune
2020Annual Conference on Genetic and Evolutionary Computation99 citations Open access
Semantic Scholar
How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation
Kostas Kouvaris, J. Clune, Loizos Kounios, M. Brede +1 more
2017PLoS Comput. Biol.97 citations Open access
Semantic Scholar
Evolving robot gaits in hardware: the HyperNEAT generative encoding vs. parameter optimization
J. Yosinski, J. Clune, D. Hidalgo, Sarah Nguyen +2 more
2011European Conference on Artificial Life94 citations
Semantic Scholar
Evolving three-dimensional objects with a generative encoding inspired by developmental biology
J. Clune, Hod Lipson
2011European Conference on Artificial Life94 citations
Semantic Scholar
Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2
M. Tabak, M. Norouzzadeh, David W. Wolfson, E. Newton +16 more
2020bioRxiv89 citations Open access
Semantic Scholar
Evolved Electrophysiological Soft Robots
N. Cheney, J. Clune, Hod Lipson
2014IEEE Symposium on Artificial Life83 citations
Semantic Scholar
OMNI: Open-endedness via Models of human Notions of Interestingness
Jenny Zhang, J. Lehman, Kenneth O. Stanley, J. Clune
2023arXiv.org74 citations Open access
Semantic Scholar
On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent
Xing-Wen Zhang, J. Clune, Kenneth O. Stanley
2017arXiv.org64 citations
Semantic Scholar
The Surprising Creativity of Digital Evolution
J. Lehman, J. Clune, D. Misevic
2018IEEE Symposium on Artificial Life62 citations
Semantic Scholar
Evolving Gaits for Physical Robots with the HyperNEAT Generative Encoding: The Benefits of Simulation
Su-Chan Lee, J. Yosinski, Kyrre Glette, Hod Lipson +1 more
2013EvoApplications61 citations Open access
Semantic Scholar
Quality-Diversity through AI Feedback
Herbie Bradley, Andrew Dai, H. Teufel, Jenny Zhang +6 more
2023arXiv.org58 citations
Semantic Scholar
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
F. Such, Vashisht Madhavan, Rosanne Liu, Rui Wang +7 more
2018International Joint Conference on Artificial Intelligence55 citations Open access
Semantic Scholar
Automatically identifying wild animals in camera trap images with deep learning
M. Norouzzadeh, Anh Totti Nguyen, M. Kosmala, A. Swanson +2 more
2017arXiv.org53 citations
Semantic Scholar
Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks
Roby Velez, J. Clune
2017PLoS ONE53 citations Open access
Semantic Scholar

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