[1] Gregor, Karol and LeCun, Yann. “Learning fast Approximations of sparse coding”. Proceedings of the 27th international conference on international conference on machine learning, 2010. [2] Sun, Jian and Li, Huibin and Xu, Zongben and others. “Deep ADMM-Net for compressive sensing MRI...
Previous studies have demonstrated that deep learning (DL) holds promise for improving low-count PET image quality. However, almost all data-driven DL methods suffer from fine structure degradation and blurring effects after denoising. Incorporating DL into the traditional iterative optimization model ...
This paper proposes a model-driven deep learning (MDDL)-based channel estimation and feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input multiple-output (MIMO) systems, where the angle-delay domain channels' sparsity is exploited for reducing the overhead. Firstly, ...
Xilin Shen, Xiangchun Li Deep-learning methods for unveiling large-scale single-cell transcriptomes Cancer Biology & Medicine , 20 , 972 -980 (2023) Xiang XU, ZhiHui ZOU, MingLiang HAN, DongShun JIA, HuaWei ZHOU, JianXin PEI, Rui MA Deep-learning velocity model building by jointly using ...
Second, scheduling:JuiceFS supports not only HostPath, but also CSI-driven ,which enables users to access the storage in a more cloud-native way. Third, framework adaptation:the POSIX interface is suitable for adapting deep learning frameworks. ...
The interpretability is also discussed from the perspective of the core of model-driven deep unrolling and its inductive reconstruction property. 展开 关键词: Intelligent fault diagnosis Interpretable deep learning Model-driven deep unrolling Noise attacks ...
http://ai-structure.com早在2023年11月3日就上线了基于Diffusion Model的剪力墙结构智能设计,本文给出其实现的具体技术原理。 本研究提出了一种适用于剪力墙布置任务的扩散模型训练、生成方法。讨论了适用于扩散模型的剪力墙图纸表征方式、扩散模型架构设计。测试案例表明,本研究提出的方法设计的剪力墙结构与其他算法相...
To address this issue, this paper proposes a data-driven LC model based on deep learning models. Deep belief network (DBN) and long short-term memory (LSTM) neural network are employed to model the LC process that is composed of LC decisions (LCD) and LC implementation (LCI). The ...
Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation (liuff19.github.io) 两个Condition给到两个不同model,可以做相互蒸馏拉到同一个Distribution 9. VideoBooth VideoBooth 通过coarse-to-fine的design将image information注入,实现细粒度生成 coarse:通过加MLP层 2. fine:通过更新KV矩阵 10...
Li, S., Hu, C., Ke, S., Yang, C., Chen, J., Xiong, Y., ... & Hong, L. (2023). LS-MolGen: Ligand-and-Structure Dual-Driven Deep Reinforcement Learning for Target-Specific Molecular Generation Improves Binding Affinity and Novelty. Journal of Chemical Information and Modeling....