AI 科技评论按:近日张钹院士和朱军教授团队在 arXiv 上贴出一篇论文《Graphical Generative Adversarial Networks》,论文提出了一种 Graphical-GAN 模型框架,该模型综合了深度隐式模型(Deep Implicit Model)和概率图模型(Probabilistic Graphical Models)的优点,能够利用数据的基本结构来进一步提升生成网络的表现。 一、深度...
雷锋网 AI 科技评论按:近日张钹院士和朱军教授团队在 arXiv 上贴出一篇论文《Graphical Generative Adversarial Networks》,论文提出了一种 Graphical-GAN 模型框架,该模型综合了深度隐式模型(Deep Implicit Model)和概率图模型(Probabilistic Graphical Models)的优点,能够利用数据的基本结构来进一步提升生成网络的表现。 ...
雷锋网 AI 科技评论按:近日张钹院士和朱军教授团队在 arXiv 上贴出一篇论文《Graphical Generative Adversarial Networks》,论文提出了一种 Graphical-GAN 模型框架,该模型综合了深度隐式模型(Deep Implicit Model)和概率图模型(Probabilistic Graphical Models)的优点,能够利用数据的基本结构来进一步提升生成网络的表现。 ...
Recently, generative adversarial networks (GAN) have shown how they can be helpful for image generation following certain imposed rules, including those coming from architecture. This research work, exploiting the potentialities of Computational Geometry and automated information management through Data ...
We propose GUICG, an integrated generative model that combines deep neural networks and image processing techniques to overcome the challenges in translating GUI images to code. We extensively evaluate GUICG using mainstream datasets and compare it with current state-of-the-art methods in the field...
Neural networksGANMusicMIDIIn this paper we have presented a method for composing and generating short musical phrases using a deep convolutional generative adversarial network (DCGAN). We have used a dataset of classical and jazz music MIDI recordings in order to train the network. Our approach ...
Imitating driver behavior with generative adversarial networks. In Proceedings of the 2017 IEEE Intelligent Vehicles Symposium (IV), Los Angeles, CA, USA, 11–14 June 2017; pp. 204–211. [Google Scholar] Cui, Z.; Ke, R.; Pu, Z.; Wang, Y. Stacked bidirectional and unidirectional LSTM ...
Generative Adversarial Networks(GAN) GAN学习资料总结 Graph Neural Network(GNN) 《阿里达摩院发布2019十大科技趋势》-趋势4:超大规模图神经网络系统将赋予机器常识。 单纯的深度学习已经成熟,而结合了深度学习的图神经网络将端到端学习与归纳推理相结合,有望解决深度学习无法处理的关系推理、可解释性等一系列问题。强...
Recurrent Neural Networks are trained on data produced by a generative model. The activations of the different nets are displayed in a graphical map that helps the specialist to gain insight into the cardiac condition. Particular attentionwas paid toGenerativeAdversarial Networks (GANs), whose ...
Content creation is a growing field in Artificial Intelligence (AI) that achieves promising results using generative models. With recent advances in generative models such as Generative Adversarial Networks (GAN), videos can be generated according to specific conditions or even without any conditional ...