17 citations · 22 across the 4 of their papers we have counts for
4 papers
Can neural networks learn persistent homology features?
Guido Montúfar, Nina Otter, Yuguang Wang
Topological data analysis uses tools from topology -- the mathematical area that studies shapes -- to create representations of data. In particular, in persistent homology, one stu…
Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus
Nicole Hallett, Kai Yi, Josef Dick +4
The transparent cornea is the window of the eye, facilitating the entry of light rays and controlling focusing the movement of the light within the eye. The cornea is critical, con…
CosmoVAE: Variational Autoencoder for CMB Image Inpainting
Kai Yi, Yi Guo, Yanan Fan +2
Cosmic microwave background radiation (CMB) is critical to the understanding of the early universe and precise estimation of cosmological constants. Due to the contamination of the…
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
Zheng Ma, Ming Li, Yuguang Wang
Convolution operations designed for graph-structured data usually utilize the graph Laplacian, which can be seen as message passing between the adjacent neighbors through a generic…