Directed graphs are a natural model for many phenomena, in particular
sc...
We introduce a class of manifold neural networks (MNNs) that we call Man...
When generalizing schemes for real-valued data approximation or decompos...
Societal biases in the usage of words, including harmful stereotypes, ar...
High-dimensional data arises in numerous applications, and the rapidly
d...
We propose a multi-scale hybridized topic modeling method to find hidden...
The scattering transform is a multilayered, wavelet-based transform init...
The manifold scattering transform is a deep feature extractor for data
d...