Generating Structurally Realistic Models With Deep Autoregressive Networks

Author:

López José Antonio Hernández1ORCID,Cuadrado Jesús Sánchez1ORCID

Affiliation:

1. Department of Computer Science and Systems, Universidad de Murcia, Murcia, Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Software

Reference47 articles.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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3. Integrating the Support for Machine Learning of Inter-Model Relations in Model Views.;The Journal of Object Technology;2024

4. Model-Driven Optimization for Quantum Program Synthesis with MOMoT;2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C);2023-10-01

5. Towards Generating Structurally Realistic Models by Generative Adversarial Networks;2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C);2023-10-01

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