14 citations · 58 across the 16 of their papers we have counts for
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cs.CV2023
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications
Gianfranco Cortes, Yue Yu, Robin Chen +3
With the advent of group equivariant convolutions in deep networks literature, spherical CNNs with -equivariant layers have been developed to cope with data that ar…
math.ST2023
Kernel Stein Discrepancy on Lie Groups: Theory and Applications
Xiaoda Qu, Xiran Fan, Baba C. Vemuri
Distributional approximation is a fundamental problem in machine learning with numerous applications across all fields of science and engineering and beyond. The key challenge in m…
stat.ML2023★ 2 cited
Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
Xiran Fan, Chun-Hao Yang, Baba C. Vemuri
Hyperbolic spaces have been quite popular in the recent past for representing hierarchically organized data. Further, several classification algorithms for data in these spaces hav…