Simplicial neural networks (SNNs), a generalization of graph neural netw...
PyTorch reimplementation for "KPConv: Flexible and Deformable Convolutio...
Rapid experimentation and scaling of deep learning models on molecular a...
code to train a neural network to align pairs of shapes without needing ...
[ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/...
[ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equ...
[RA-L 2020] Official Tensorflow Implementation for "RGGNet: Tolerance Aw...