Co-occurring keywords · papers mentioning both
Papers
Diffusion Models under Group Transformations
AISTATS 2025
A Canonicalization Perspective on Invariant and Equivariant Learning
NeurIPS 2024
Approximately Piecewise E(3) Equivariant Point Networks
ICLR 2024
A Unified Framework for Discovering Discrete Symmetries
AISTATS 2024
Invariant and Equivariant Reynolds Networks
JMLR 2024
Continual Vision-based Reinforcement Learning with Group Symmetries
CoRL 2023
Equivariance-aware Architectural Optimization of Neural Networks
ICLR 2023
Equivariant Single View Pose Prediction Via Induced and Restriction Representations
NeurIPS 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
NeurIPS 2023
Sample Complexity of Probability Divergences under Group Symmetry
ICML 2023
Frame Averaging for Invariant and Equivariant Network Design
ICLR 2022
Learning Symmetric Embeddings for Equivariant World Models
ICML 2022
Structure-preserving GANs
ICML 2022
Equivariance Through Parameter-Sharing
ICML 2017