2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Connectome-to-Function: Conditional Generative Latent Representations for Reservoir Computing
Zhuolin Yu, Xingyu Liu, Yuanhao Jia +4
Connectomes, graph-level maps of neurons and their synaptic connections, provide a structural basis for understanding how brain circuits support function and computation. However,…
cs.CV2021
ViR:the Vision Reservoir
Xian Wei, Bin Wang, Mingsong Chen +7
The most recent year has witnessed the success of applying the Vision Transformer (ViT) for image classification. However, there are still evidences indicating that ViT often suffe…
cs.LG2020★ 2 cited
Anomalous diffusion dynamics of learning in deep neural networks
Guozhang Chen, Cheng Kevin Qu, Pulin Gong
Learning in deep neural networks (DNNs) is implemented through minimizing a highly non-convex loss function, typically by a stochastic gradient descent (SGD) method. This learning…