no code implementations • 2 Dec 2021 • Utkarsh Singhal, Yifei Xing, Stella X. Yu
We study complex-valued scaling as a type of symmetry natural and unique to complex-valued measurements and representations.
no code implementations • 1 Jan 2021 • Utkarsh Singhal, Yifei Xing, Stella Yu
SurReal complex-valued networks adopt a manifold view of complex numbers and derive a distance metric that is invariant to complex scaling.
9 code implementations • NeurIPS 2020 • Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng
We show that passing input points through a simple Fourier feature mapping enables a multilayer perceptron (MLP) to learn high-frequency functions in low-dimensional problem domains.
