equivariant learning

A Regularization-Guided Equivariant Approach for Image Restoration CVPR 2025 Equivariant Masked Position Prediction for Efficient Molecular Representation ICLR 2025 Equivariant Neural Functional Networks for Transformers ICLR 2025 ESCAPE: Equivariant Shape Completion via Anchor Point Encoding CVPR 2025 ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness ICCV 2025 STRiDE: STate-space Riemannian Diffusion for Equivariant Planning L4DC 2025 Symmetries-enhanced Multi-Agent Reinforcement Learning L4DC 2025 $SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation NeurIPS 2024 A Canonicalization Perspective on Invariant and Equivariant Learning NeurIPS 2024 A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening NeurIPS 2024 Clifford Group Equivariant Simplicial Message Passing Networks ICLR 2024 Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT NeurIPS 2024 DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation ICLR 2024 Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters NeurIPS 2024 Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D ICLR 2024 Graph Metanetworks for Processing Diverse Neural Architectures ICLR 2024 Neural Isometries: Taming Transformations for Equivariant ML NeurIPS 2024 Dimensionless machine learning: Imposing exact units equivariance JMLR 2023 Efficient Equivariant Transfer Learning from Pretrained Models NeurIPS 2023 Equivariant Energy-Guided SDE for Inverse Molecular Design ICLR 2023 Equivariant Motion Manifold Primitives CoRL 2023 Geometric Latent Diffusion Models for 3D Molecule Generation ICML 2023 Towards Equivariant Optical Flow Estimation With Deep Learning WACV 2023 3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design ICML 2022 Equivariant Graph Mechanics Networks with Constraints ICLR 2022