Co-occurring keywords · papers mentioning both
Papers
Relaxed Rotational Equivariance via G-Biases in Vision
AAAI 2025
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
ICLR 2024
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
NeurIPS 2024
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
ICLR 2023
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
ICLR 2023
Smooth, exact rotational symmetrization for deep learning on point clouds
NeurIPS 2023
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs
ICLR 2022
Spherical Channels for Modeling Atomic Interactions
NeurIPS 2022
Efficient Generalized Spherical CNNs
ICLR 2021
CoMIR: Contrastive Multimodal Image Representation for Registration
NeurIPS 2020
Directional Message Passing for Molecular Graphs
ICLR 2020