4 citations · 8 across the 4 of their papers we have counts for
4 papers
CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning
Nikola Janjušević, Amirhossein Khalilian-Gourtani, Yao Wang
Deep learning based methods hold state-of-the-art results in image denoising, but remain difficult to interpret due to their construction from poorly understood building blocks suc…
The distance between the weights of the neural network is meaningful
Liqun Yang, Yijun Yang, Yao Wang +2
In the application of neural networks, we need to select a suitable model based on the problem complexity and the dataset scale. To analyze the network's capacity, quantifying the…
Kernel-based L_2-Boosting with Structure Constraints
Yao Wang, Xin Guo, Shao-Bo Lin
Developing efficient kernel methods for regression is very popular in the past decade. In this paper, utilizing boosting on kernel-based weaker learners, we propose a novel kernel-…
Deep Generative Learning via Variational Gradient Flow
Yuan Gao, Yuling Jiao, Yang Wang +3
We propose a general framework to learn deep generative models via \textbf{V}ariational \textbf{Gr}adient Fl\textbf{ow} (VGrow) on probability spaces. The evolving distribution tha…