Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data Yijie Zhang, Tairan Liu, Manmohan Singh, Ege Çetintaş, Yilin Luo, Yair Rivenson, Kirill V. Larin & Aydogan Ozcan Light: Science & Applications volume 10, Article...
Neural network-based variational Monte Carlo (NN-VMC) has emerged as a promising cutting-edge technique of ab initio quantum chemistry. However, the high computational cost of existing approaches hinders their applications in realistic chemistry problems
CAmouflage REsistant Graph Neural Network (CARE-GNN) 对于特征伪装:提出一种基于标签感知的相似性度量的方法,通过对比节点特征来寻找最相似的邻居。 对于关系伪装:设计了一个相似度感知的邻居选择器来选择一个中心节点的某个关系下的相似邻居。另外,在训练过程中,使用强化学习(RL)自适应地找到最佳邻居选择阈值。 利...
Neural Network-Based Abstract Generation for Opinions and Arguments,于6月9日submit于arxiv上。作者是来自美国东北大学的Lu Wang助教。 关于自动文摘,之前写过一系列的文章,包含了自动文摘的方方面面以及近期的一些相关paper的详细描述。本文的自动文摘问题是一个多评论摘要问题,用的是abstractive方法,而非简单的...
Self-supervised spatial–temporal contrastive network for EEG-based brain network classification Changxu Dong, ... Bin Luo August 2025 Research articleAbstract only Intra-class progressive and adaptive self-distillation Jianping Gou, ... Zhang Yi ...
OWEP improves the models' performance and significantly reduces the training time on the order of 60 percent. The RNN outperforms the FNN but costs about a factor of 2 longer in training time. Furthermore, the neural network-based models provide more accurate forecasts than traditional stochastic...
论文地址:基于神经网络的实时语音增强的加权语音失真损失 论文代码:https://github.com/GuillaumeVW/NSNet 引用:Xia Y, Braun S, Reddy C K A, et al. Weighted speech distortion losses for neu
其中,Attention类定义了注意力模块,AttentionBasedNetwork类定义了整个网络的结构。你可以根据自己的需求调整模型的输入维度、隐藏层维度和输出维度,并通过调用forward方法进行前向传播。在示例中,我们使用随机生成的输入数据进行了一次前向传播,并打印了输出概率和注意力权重。
The suggested neural network-based trajectory design approach successfully generated a suitable path. Simulations using CarMaker were used to demonstrate the method's performance. The technique is based on a robust control framework and is unaffected by the ML-based agent's structure. View article ...
PNN(Product-based Neural Network)是在2016年提出的用于计算CTR问题的深度神经网络模型,PNN的网络结构对传统的FNN(Feedforward Neural Network)网络结构做了一些优化,使得其能够更适合处理CTR问题。在PNN网络模型中,主要的优化点为: 通过Embedding层处理离散特征。Embedding层现在已经成为DNN模型处理CTR问题的标配; ...