149 citations · 793 across the 19 of their papers we have counts for
3 papers · 1 filter
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation
Chiyu "Max" Jiang, Dequan Wang, Jingwei Huang +2
Convolutional Neural Networks (CNN) have been successful in processing data signals that are uniformly sampled in the spatial domain (e.g., images). However, most data signals do n…
Spherical CNNs on Unstructured Grids
Chiyu "Max" Jiang, Jingwei Huang, Karthik Kashinath +3
We present an efficient convolution kernel for Convolutional Neural Networks (CNNs) on unstructured grids using parameterized differential operators while focusing on spherical sig…
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals
Chiyu "Max" Jiang, Dana Lynn Ona Lansigan, Philip Marcus +1
We present a Deep Differentiable Simplex Layer (DDSL) for neural networks for geometric deep learning. The DDSL is a differentiable layer compatible with deep neural networks for b…