Triple correlation on groups

By R. Kakarala. 1992

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Risi Kondor
2. Brandon M. Anderson
3. Karsten M. Borgwardt
4. Truong Son Hy
5. Peter J. Kostelec
6. Christopher Morris
7. D. Healy
8. D. Rockmore

Citations in the corpus

• Cormorant: Covariant Molecular Neural Networks (2019, methodology): “Note the similarity of this expression to the bispectrum [Kakarala, 1992, Bendory et al., 2018], which is an already established tool in the force field learning literature [Bartók et al., 2013].”
• The skew spectrum of graphs (2008, background): “Amuch more remarkable fact, proved in (Kakarala, 1992), is that provided the technical condition that each f. is invertible is satis.ed, the bispectrum is also complete (or lossless) in the sense that the matrices (b.1 ,.2 ).1 ,.2 .n uniquelydetermine f up to translation.”
• FFTs for the 2-Sphere-Improvements and Variations (1996, methodology): “In [30] Kakarala shows how the bispectrum may be computed from the Fourier transform of f ∈ L(2)(SO(3)).”