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Evolving robot gaits in hardware: the HyperNEAT generative encoding vs. parameter optimization.

J. Yosinski, J. Clune, D. Hidalgo, S. Nguyen, J. Zagal, and H. Lipson. ECAL, page 890-897. MIT Press, (2011)

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Ian Jason

Jason Miskuly

Jason Crook

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WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web.T. Taylor, J. Auerbach, J. Bongard, J. Clune, S. Hickinbotham, C. Ofria, M. Oka, S. Risi, K. Stanley, and J. Yosinski. Artif. Life, 22 (3): 364-407 (2016)The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research CommunitiesJ. Lehman, J. Clune, D. Misevic, C. Adami, L. Altenberg, J. Beaulieu, P. Bentley, S. Bernard, G. Beslon, D. Bryson and 43 other author(s). (2018)cite arxiv:1803.03453.Understanding Neural Networks via Feature Visualization: A Survey.A. Nguyen, J. Yosinski, and J. Clune. Explainable AI, volume 11700 of Lecture Notes in Computer Science, Springer, (2019)Language Models are Few-shot Multilingual Learners.G. Winata, A. Madotto, Z. Lin, R. Liu, J. Yosinski, and P. Fung. CoRR, (2021)LCA: Loss Change Allocation for Neural Network Training.J. Lan, R. Liu, H. Zhou, and J. Yosinski. NeurIPS, page 3614-3624. (2019)Convergent Learning: Do different neural networks learn the same representations?Y. Li, J. Yosinski, J. Clune, H. Lipson, and J. Hopcroft. FE@NIPS, volume 44 of JMLR Workshop and Conference Proceedings, page 196-212. JMLR.org, (2015)Can deep learning help you find the perfect match?H. de Vries, and J. Yosinski. CoRR, (2015)Deep Generative Stochastic Networks Trainable by Backprop.Y. Bengio, E. Thibodeau-Laufer, and J. Yosinski. CoRR, (2013)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsA. Srivastava, A. Rastogi, A. Rao, A. Shoeb, A. Abid, A. Fisch, A. Brown, A. Santoro, A. Gupta, A. Garriga-Alonso and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.First-Order Preconditioning via Hypergradient Descent.T. Moskovitz, R. Wang, J. Lan, S. Kapoor, T. Miconi, J. Yosinski, and A. Rawal. CoRR, (2019)

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Disambiguation of "Yosinski, Jason"

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Evolving robot gaits in hardware: the HyperNEAT generative encoding vs. parameter optimization.

Please choose a person to relate this publication to

Ian Jason

Jason Miskuly

Jason Crook

Jason Tam

Jason Pazis

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yosinski, Jason"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Evolving robot gaits in hardware: the HyperNEAT generative encoding vs. parameter optimization.

Please choose a person to relate this publication to

Ian Jason

Jason Miskuly

Jason Crook

Jason Tam

Jason Pazis

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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APA
Chicago
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Evolving robot gaits in hardware: the HyperNEAT generative encoding vs. parameter optimization.