200 citations · 384 across the 13 of their papers we have counts for
3 papers · 1 filter
Smooth, exact rotational symmetrization for deep learning on point clouds
Sergey N. Pozdnyakov, Michele Ceriotti
Point clouds are versatile representations of 3D objects and have found widespread application in science and engineering. Many successful deep-learning models have been proposed t…
Wigner kernels: body-ordered equivariant machine learning without a basis
Filippo Bigi, Sergey N. Pozdnyakov, Michele Ceriotti
Machine-learning models based on a point-cloud representation of a physical object are ubiquitous in scientific applications and particularly well-suited to the atomic-scale descri…
Completeness of Atomic Structure Representations
Jigyasa Nigam, Sergey N. Pozdnyakov, Kevin K. Huguenin-Dumittan +1
In this paper, we address the challenge of obtaining a comprehensive and symmetric representation of point particle groups, such as atoms in a molecule, which is crucial in physics…