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equivariant representation

29 papers

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Co-occurring keywords

representation learning (6206) invariant representation (65) graph neural network (3962) self-supervised learning (3777) latent space (854) disentangled representation (521) image transformation (42) neural network (6616) equivariant neural network (75) group equivariance (29)

Papers

Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction AAAI 2026
Self-supervised Transformation Learning for Equivariant Representations NIPS 2024
BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation CVPR 2024
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation CVPR 2024
Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation NIPS 2024
Invariant and Equivariant Reynolds Networks JMLR 2024
Learning Group Actions on Latent Representations NIPS 2024
Self-supervised learning of Split Invariant Equivariant representations ICML 2023
Equivariant Representation Learning via Class-Pose Decomposition AISTATS 2023
Flow Factorized Representation Learning NIPS 2023
DUET: 2D Structured and Approximately Equivariant Representations ICML 2023
On the Equivalence Between Temporal and Static Equivariant Graph Representations ICML 2022
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity WACV 2022
Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans From a Single Camera CVPR 2022
Structuring Representations Using Group Invariants NIPS 2022
Learning Equivariant Segmentation with Instance-Unique Querying NIPS 2022
Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors NIPS 2022
SE(3) Equivariant Graph Neural Networks with Complete Local Frames ICML 2022
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning ICML 2022
Unsupervised Learning of Group Invariant and Equivariant Representations NIPS 2022
Equivariant message passing for the prediction of tensorial properties and molecular spectra ICML 2021
GemNet: Universal Directional Graph Neural Networks for Molecules NIPS 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning CVPR 2021
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations CVPR 2020
Spin-Weighted Spherical CNNs NIPS 2020