Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks
Publication information:
A. Sengupta, M. Tepper, C. Pehlevan, A. Genkin, and D. Chklovskii,
“Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks”, in Advances in neural information processing systems (NeurIPS), 2018.