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Jeff Clune

Showing results (11-20 of 21) with videos related to

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Proceedings. Biological Sciences|September 17, 2010
Selective pressures for accurate altruism targeting: evidence from digital evolution for difficult-to-test aspects of inclusive fitness theoryJeff Clune, Heather J Goldsby, Charles Ofria, et al.
The American Naturalist|August 3, 2012
Ontogeny tends to recapitulate phylogeny in digital organismsJeff Clune, Robert T Pennock, Charles Ofria, et al.
Nature|February 25, 2021
First return, then exploreAdrien Ecoffet, Joost Huizinga, Joel Lehman, et al.
Plos Computational Biology|April 7, 2017
How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisationKostas Kouvaris, Jeff Clune, Loizos Kounios, et al.
Plos Computational Biology|September 27, 2008
Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapesJeff Clune, Dusan Misevic, Charles Ofria, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 7, 2018
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learningMohammad Sadegh Norouzzadeh, Anh Nguyen, Margaret Kosmala, et al.
Nature|March 26, 2026
Towards end-to-end automation of AI researchChris Lu, Cong Lu, Robert Tjarko Lange, et al.
Artificial Life|July 30, 2016
WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the WebTim Taylor, Joshua E Auerbach, Josh Bongard, et al.
Science (New York, N.Y.)|May 20, 2024
Managing extreme AI risks amid rapid progressYoshua Bengio, Geoffrey Hinton, Andrew Yao, et al.
Ecology and Evolution|October 19, 2020
Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2Michael A Tabak, Mohammad S Norouzzadeh, David W Wolfson, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Proceedings. Biological Sciences|September 17, 2010
Selective pressures for accurate altruism targeting: evidence from digital evolution for difficult-to-test aspects of inclusive fitness theoryJeff Clune, Heather J Goldsby, Charles Ofria, et al.
The American Naturalist|August 3, 2012
Ontogeny tends to recapitulate phylogeny in digital organismsJeff Clune, Robert T Pennock, Charles Ofria, et al.
Nature|February 25, 2021
First return, then exploreAdrien Ecoffet, Joost Huizinga, Joel Lehman, et al.
Plos Computational Biology|April 7, 2017
How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisationKostas Kouvaris, Jeff Clune, Loizos Kounios, et al.
Plos Computational Biology|September 27, 2008
Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapesJeff Clune, Dusan Misevic, Charles Ofria, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 7, 2018
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learningMohammad Sadegh Norouzzadeh, Anh Nguyen, Margaret Kosmala, et al.
Nature|March 26, 2026
Towards end-to-end automation of AI researchChris Lu, Cong Lu, Robert Tjarko Lange, et al.
Artificial Life|July 30, 2016
WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the WebTim Taylor, Joshua E Auerbach, Josh Bongard, et al.
Science (New York, N.Y.)|May 20, 2024
Managing extreme AI risks amid rapid progressYoshua Bengio, Geoffrey Hinton, Andrew Yao, et al.
Ecology and Evolution|October 19, 2020
Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2Michael A Tabak, Mohammad S Norouzzadeh, David W Wolfson, et al.
Pageof 3