| 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 |
