Exploring expression-based generative adversarial networks-Reference-Cited by-同舟云学术

Exploring expression-based generative adversarial networks

Published:2022-07-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
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Author:

Baeta Francisco¹,Correia João¹,Martins Tiago¹,Machado Penousal¹

Affiliation:

1. University of Coimbra, Coimbra, Portugal

Funder

FCT - Foudation for Science and Technology, I.P

CISUC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3520304.3534002

Reference25 articles.

1. Martin Arjovsky , Soumith Chintala , and Léon Bottou . 2017 . Wasserstein generative adversarial networks . In International conference on machine learning. PMLR, 214--223 . Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017. Wasserstein generative adversarial networks. In International conference on machine learning. PMLR, 214--223.

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3. TensorGP – Genetic Programming Engine in TensorFlow

4. Algorithms for manifold learning. Univ. of California at San Diego Tech;Cayton Lawrence;Rep,2005

5. Joßo Correia , Penousal Machado , Juan Romero , Pedro Martins , and F Amílcar Cardoso . 2019. Breaking the Mould An Evolutionary Quest for Innovation Through Style Change . In Computational Creativity . Springer , 353--398. Joßo Correia, Penousal Machado, Juan Romero, Pedro Martins, and F Amílcar Cardoso. 2019. Breaking the Mould An Evolutionary Quest for Innovation Through Style Change. In Computational Creativity. Springer, 353--398.

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