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05/01/2020
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
We propose MeshfreeFlowNet, a novel deep learning-based super-resolution...
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01/30/2019
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals
We present a Deep Differentiable Simplex Layer (DDSL) for neural network...
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01/07/2019
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation
Convolutional Neural Networks (CNN) have been successful in processing d...
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01/07/2019
Spherical CNNs on Unstructured Grids
We present an efficient convolution kernel for Convolutional Neural Netw...
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09/22/2017