equivariant network

Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian ICML 2023 Equivariant Adaptation of Large Pretrained Models NeurIPS 2023 Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics NeurIPS 2023 Integrating Symmetry into Differentiable Planning with Steerable Convolutions ICLR 2023 Latent Field Discovery in Interacting Dynamical Systems with Neural Fields NeurIPS 2023 SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning NeurIPS 2023 Transformation-Equivariant 3D Object Detection for Autonomous Driving AAAI 2023 A PAC-Bayesian Generalization Bound for Equivariant Networks NeurIPS 2022 Approximately Equivariant Networks for Imperfectly Symmetric Dynamics ICML 2022 Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres NeurIPS 2022 ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes CVPR 2022 Energy-Inspired Molecular Conformation Optimization ICLR 2022 Equivariant Deep Dynamical Model for Motion Prediction AISTATS 2022 Equivariant Networks for Crystal Structures NeurIPS 2022 Equivariant Networks for Zero-Shot Coordination NeurIPS 2022 Generative Coarse-Graining of Molecular Conformations ICML 2022 Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks NeurIPS 2022 Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets ICML 2022 Pure Transformers are Powerful Graph Learners NeurIPS 2022 Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior NeurIPS 2022 Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups NeurIPS 2022 Equivariant Point Network for 3D Point Cloud Analysis CVPR 2021 Vector Neurons: A General Framework for SO(3)-Equivariant Networks ICCV 2021 Building Deep Equivariant Capsule Networks ICLR 2020 Equivariant Networks for Hierarchical Structures NeurIPS 2020