| Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups | Oct 25, 2021 | Computational EfficiencyRotated MNIST | CodeCode Available | 1 |
| Learning Partial Equivariances from Data | Oct 19, 2021 | Image ClassificationRotated MNIST | CodeCode Available | 1 |
| Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional Network | Jun 18, 2021 | Data Augmentationimage-classification | CodeCode Available | 1 |
| CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers | Jul 21, 2020 | ClassificationData Augmentation | CodeCode Available | 1 |
| PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions | Jul 20, 2020 | image-classificationImage Classification | CodeCode Available | 1 |
| Domain Generalization using Causal Matching | Jun 12, 2020 | Data AugmentationDomain Generalization | CodeCode Available | 1 |
| Efficient Domain Generalization via Common-Specific Low-Rank Decomposition | Mar 28, 2020 | Data AugmentationDomain Generalization | CodeCode Available | 1 |
| General E(2)-Equivariant Steerable CNNs | Dec 1, 2019 | Rotated MNIST | CodeCode Available | 1 |
| DIVA: Domain Invariant Variational Autoencoders | May 24, 2019 | Domain GeneralizationRotated MNIST | CodeCode Available | 1 |
| Harmonic Networks: Deep Translation and Rotation Equivariance | Dec 14, 2016 | Data AugmentationRotated MNIST | CodeCode Available | 1 |
| What's Inside Your Diffusion Model? A Score-Based Riemannian Metric to Explore the Data Manifold | May 16, 2025 | NavigateRotated MNIST | —Unverified | 0 |
| GDO: Gradual Domain Osmosis | Jan 31, 2025 | Domain AdaptationRotated MNIST | —Unverified | 0 |
| On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory | Dec 16, 2024 | Rotated MNIST | CodeCode Available | 0 |
| Unsupervised discovery of the shared and private geometry in multi-view data | Aug 22, 2024 | HippocampusRotated MNIST | —Unverified | 0 |
| ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding | Jun 2, 2024 | Anomaly DetectionDensity Estimation | CodeCode Available | 0 |
| Progressive Conservative Adaptation for Evolving Target Domains | Feb 7, 2024 | Domain AdaptationMeta-Learning | —Unverified | 0 |
| Scale-Rotation-Equivariant Lie Group Convolution Neural Networks (Lie Group-CNNs) | Jun 12, 2023 | image-classificationImage Classification | —Unverified | 0 |
| Group Invariant Global Pooling | May 30, 2023 | Rotated MNIST | —Unverified | 0 |
| Artificial Neuronal Ensembles with Learned Context Dependent Gating | Jan 17, 2023 | Continual LearningPermuted-MNIST | CodeCode Available | 0 |
| Learning unfolded networks with a cyclic group structure | Nov 16, 2022 | Data AugmentationRotated MNIST | CodeCode Available | 0 |
| Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments | Sep 22, 2022 | Rotated MNISTTranslation | CodeCode Available | 0 |
| Diversity Boosted Learning for Domain Generalization with Large Number of Domains | Jul 28, 2022 | DiversityDomain Generalization | —Unverified | 0 |
| Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge | Jul 11, 2022 | Domain GeneralizationRotated MNIST | —Unverified | 0 |
| Transform-Invariant Convolutional Neural Networks for Image Classification and Search | Jun 18, 2022 | Classificationimage-classification | —Unverified | 0 |
| Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration | Feb 8, 2022 | Rotated MNIST | —Unverified | 0 |
