260 citations · 585 across the 32 of their papers we have counts for
5 papers · 1 filter
DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks
João Caldeira, W. L. Kimmy Wu, Brian Nord +3
Next-generation cosmic microwave background (CMB) experiments will have lower noise and therefore increased sensitivity, enabling improved constraints on fundamental physics parame…
Discriminative Learning of Similarity and Group Equivariant Representations
Shubhendu Trivedi
One of the most fundamental problems in machine learning is to compare examples: Given a pair of objects we want to return a value which indicates degree of (dis)similarity. Simila…
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor, Zhen Lin, Shubhendu Trivedi
Recent work by Cohen \emph{et al.} has achieved state-of-the-art results for learning spherical images in a rotation invariant way by using ideas from group representation theory a…
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor, Shubhendu Trivedi
Convolutional neural networks have been extremely successful in the image recognition domain because they ensure equivariance to translations. There have been many recent attempts…
Covariant Compositional Networks For Learning Graphs
Risi Kondor, Hy Truong Son, Horace Pan +2
Most existing neural networks for learning graphs address permutation invariance by conceiving of the network as a message passing scheme, where each node sums the feature vectors…