2 citations · 3 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2026
DynaCrys: Crystal Generation with Dynamic Space-Group Diffusion
Zhuotao Jin, Xiaoyun Wang, Nicholas Brawand +5
The search for new crystalline materials spans an enormous compositional and structural space. Generating candidates in this space requires jointly modeling discrete crystallograph…
cs.LG2023★ 1 cited
Hyperbolic Convolution via Kernel Point Aggregation
Eric Qu, Dongmian Zou
Learning representations according to the underlying geometry is of vital importance for non-Euclidean data. Studies have revealed that the hyperbolic space can effectively embed h…
cs.LG2022★ 2 cited
Autoencoding Hyperbolic Representation for Adversarial Generation
Eric Qu, Dongmian Zou
With the recent advance of geometric deep learning, neural networks have been extensively used for data in non-Euclidean domains. In particular, hyperbolic neural networks have pro…