research
∙
06/20/2022
When Does Re-initialization Work?
Re-initializing a neural network during training has been observed to im...
share
research
∙
05/31/2022
Pre-training via Denoising for Molecular Property Prediction
Many important problems involving molecular property prediction from 3D ...
research
∙
02/20/2021
Provably Strict Generalisation Benefit for Equivariant Models
It is widely believed that engineering a model to be invariant/equivaria...
research
∙
12/20/2020
LieTransformer: Equivariant self-attention for Lie Groups
Group equivariant neural networks are used as building blocks of group i...
research
∙
06/15/2020