group theory

Affine Steerable Equivariant Layer for Canonicalization of Neural Networks ICLR 2025 On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory JMLR 2025 REVISITING MULTI-PERMUTATION EQUIVARIANCE THROUGH THE LENS OF IRREDUCIBLE REPRESENTATIONS ICLR 2025 A Canonicalization Perspective on Invariant and Equivariant Learning NeurIPS 2024 A Characterization Theorem for Equivariant Networks with Point-wise Activations ICLR 2024 A Generative Model of Symmetry Transformations NeurIPS 2024 Improving Equivariant Model Training via Constraint Relaxation NeurIPS 2024 Lie Group Decompositions for Equivariant Neural Networks ICLR 2024 MatrixNet: Learning over symmetry groups using learned group representations NeurIPS 2024 Monomial Matrix Group Equivariant Neural Functional Networks NeurIPS 2024 Neural Fourier Transform: A General Approach to Equivariant Representation Learning ICLR 2024 The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks NeurIPS 2024 A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering JMLR 2023 A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations ICML 2023 Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance NeurIPS 2023 Compounding Geometric Operations for Knowledge Graph Completion ACL 2023 Efficient Equivariant Transfer Learning from Pretrained Models NeurIPS 2023 Equivariant Representation Learning via Class-Pose Decomposition AISTATS 2023 Homomorphism AutoEncoder -- Learning Group Structured Representations from Observed Transitions ICML 2023 Knowledge Graph Embedding by Normalizing Flows AAAI 2023 SO(2)-Equivariant Reinforcement Learning ICLR 2022 Invariance-Aware Randomized Smoothing Certificates NeurIPS 2022 Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations ACL 2022 Towards Building A Group-based Unsupervised Representation Disentanglement Framework ICLR 2022 Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors NeurIPS 2022