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11/23/2021
ChebLieNet: Invariant Spectral Graph NNs Turned Equivariant by Riemannian Geometry on Lie Groups
We introduce ChebLieNet, a group-equivariant method on (anisotropic) man...
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04/13/2021
Learning to recover orientations from projections in single-particle cryo-EM
A major challenge in single-particle cryo-electron microscopy (cryo-EM) ...
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12/30/2020
DeepSphere: a graph-based spherical CNN
Designing a convolution for a spherical neural network requires a delica...
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10/07/2020
Simplicial Neural Networks
We present simplicial neural networks (SNNs), a generalization of graph ...
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04/08/2019
DeepSphere: towards an equivariant graph-based spherical CNN
Spherical data is found in many applications. By modeling the discretize...
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10/29/2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications
Convolutional Neural Networks (CNNs) are a cornerstone of the Deep Learn...
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03/13/2018
Learning to Recognize Musical Genre from Audio
We here summarize our experience running a challenge with open data for ...
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12/22/2016
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
This paper introduces Graph Convolutional Recurrent Network (GCRN), a de...
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06/30/2016