{"total":41,"rows":[{"id":"2109.07103","title":"Automatic Symmetry Discovery with Lie Algebra Convolutional Network","created":"2021-09-15","cited_by_count":83,"area":null},{"id":"2207.10758","title":"DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection","created":"2022-07-21","cited_by_count":48,"area":null},{"id":"2110.15255","title":"Self-Supervised Learning Disentangled Group Representation as Feature","created":"2021-10-28","cited_by_count":47,"area":null},{"id":"2106.03375","title":"Commutative Lie Group VAE for Disentanglement Learning","created":"2021-06-07","cited_by_count":27,"area":null},{"id":"2203.09250","title":"Symmetry-Based Representations for Artificial and Biological General Intelligence","created":"2022-03-17","cited_by_count":26,"area":null},{"id":"2107.10296","title":"Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations","created":"2021-07-21","cited_by_count":24,"area":null},{"id":"2310.06131","title":"Learning Layer-wise Equivariances Automatically using Gradients","created":"2023-10-09","cited_by_count":23,"area":null},{"id":"2312.02152","title":"Steerers: A framework for rotation equivariant keypoint descriptors","created":"2023-12-04","cited_by_count":21,"area":null},{"id":"2512.19941","title":"Block-Recurrent Dynamics in Vision Transformers","created":"2025-12-23","cited_by_count":20,"area":null},{"id":"2209.03416","title":"Bispectral Neural Networks","created":"2022-09-07","cited_by_count":18,"area":null},{"id":"2210.05972","title":"Unsupervised Learning of Equivariant Structure from Sequences","created":"2022-10-12","cited_by_count":15,"area":null},{"id":"2406.03619","title":"Symmetry Discovery Beyond Affine Transformations","created":"2024-06-05","cited_by_count":15,"area":null},{"id":"2102.05623","title":"Addressing the Topological Defects of Disentanglement via Distributed Operators","created":"2021-02-10","cited_by_count":14,"area":null},{"id":"2305.18484","title":"Neural Fourier Transform: A General Approach to Equivariant Representation Learning","created":"2023-05-29","cited_by_count":12,"area":null},{"id":"2401.09235","title":"A Characterization Theorem for Equivariant Networks with Point-wise Activations","created":"2024-01-17","cited_by_count":9,"area":null},{"id":"2309.02898","title":"A Unified Framework for Discovering Discrete Symmetries","created":"2023-09-06","cited_by_count":7,"area":null},{"id":"2404.10727","title":"How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model","created":"2024-04-16","cited_by_count":7,"area":null},{"id":"2303.03432","title":"A polar prediction model for learning to represent visual transformations","created":"2023-03-06","cited_by_count":6,"area":null},{"id":"2307.01583","title":"Learning Lie Group Symmetry Transformations with Neural Networks","created":"2023-07-04","cited_by_count":6,"area":null},{"id":"2112.01641","title":"Hamiltonian latent operators for content and motion disentanglement in image sequences","created":"2021-12-02","cited_by_count":5,"area":null},{"id":"2210.01506","title":"How deep convolutional neural networks lose spatial information with training","created":"2022-10-04","cited_by_count":5,"area":null},{"id":"2106.12096","title":"Learning Identity-Preserving Transformations on Data Manifolds","created":"2021-06-22","cited_by_count":4,"area":null},{"id":"2303.03101","title":"CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame","created":"2023-03-06","cited_by_count":4,"area":null},{"id":"2308.12696","title":"Disentanglement Learning via Topology","created":"2023-08-24","cited_by_count":4,"area":null},{"id":"2207.03485","title":"On Non-Linear operators for Geometric Deep Learning","created":"2022-07-06","cited_by_count":3,"area":null},{"id":"2305.06886","title":"A Category-theoretical Meta-analysis of Definitions of Disentanglement","created":"2023-05-11","cited_by_count":3,"area":null},{"id":"2501.06934","title":"A group-theoretic framework for machine learning in hyperbolic spaces","created":"2025-01-12","cited_by_count":3,"area":null},{"id":"2502.08683","title":"A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs","created":"2025-02-12","cited_by_count":3,"area":null},{"id":"2512.20043","title":"Discovering Symmetry Groups with Flow Matching","created":"2025-12-23","cited_by_count":3,"area":null},{"id":"2303.17776","title":"Learning Internal Representations of 3D Transformations from 2D Projected Inputs","created":"2023-03-31","cited_by_count":2,"area":null},{"id":"2305.11512","title":"Enriching Disentanglement: From Logical Definitions to Quantitative Metrics","created":"2023-05-19","cited_by_count":2,"area":null},{"id":"2406.08966","title":"Separation Power of Equivariant Neural Networks","created":"2024-06-13","cited_by_count":2,"area":null},{"id":"2509.22184","title":"Learning Equivariant Functions via Quadratic Forms","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2105.11636","title":"FILTRA: Rethinking Steerable CNN by Filter Transform","created":"2021-05-25","cited_by_count":1,"area":null},{"id":"2405.09453","title":"Kuramoto Oscillators and Swarms on Manifolds for Geometry Informed Machine Learning","created":"2024-05-15","cited_by_count":1,"area":null},{"id":"2210.07413","title":"Invariance-adapted decomposition and Lasso-type contrastive learning","created":"2022-10-13","cited_by_count":0,"area":null},{"id":"2210.07857","title":"Commutativity and Disentanglement from the Manifold Perspective","created":"2022-10-14","cited_by_count":0,"area":null},{"id":"2301.05231","title":"Equivariant Representation Learning in the Presence of Stabilizers","created":"2023-01-12","cited_by_count":0,"area":null},{"id":"2305.18552","title":"Learning Linear Groups in Neural Networks","created":"2023-05-29","cited_by_count":0,"area":null},{"id":"2408.07016","title":"Rethinking Disentanglement under Dependent Factors of Variation","created":"2024-08-13","cited_by_count":0,"area":null},{"id":"2603.07299","title":"Spectral Discovery of Continuous Symmetries via Generalized Fourier Transforms","created":"2026-03-07","cited_by_count":0,"area":null}],"next_cursor":null}