NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID: 4840 Unsupervised Co-Learning on $G$-Manifolds Across Irreducible Representations

This paper proposes a novel multi-view framework for alignment affinity in a G-manifold with extending to multiple irreps of G. The reviewers agree that the paper has interesting algorithmic contributions and applications to Cryo-EM. The author’s rebuttal has been partially convincing. Further results on NN denoising as mentioned in the rebuttal, in the final revision would be crucial.