symmetry learning

How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning ICLR 2025 On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory JMLR 2025 Learning Infinitesimal Generators of Continuous Symmetries from Data NeurIPS 2024 Learning symmetries via weight-sharing with doubly stochastic tensors NeurIPS 2024 Neural Fourier Transform: A General Approach to Equivariant Representation Learning ICLR 2024 Symmetric Linear Bandits with Hidden Symmetry NeurIPS 2024 Automatic Data Augmentation via Invariance-Constrained Learning ICML 2023 Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion CVPR 2023 Symmetry-Aware Robot Design with Structured Subgroups ICML 2023 LieGG: Studying Learned Lie Group Generators NeurIPS 2022 Inverse Learning of Symmetries NeurIPS 2020 Symmetry and Group in Attribute-Object Compositions CVPR 2020 Non-Parametric Transformation Networks for Learning General Invariances from Data AAAI 2019