equivariant neural network

Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials ICLR 2024 Equivariant Matrix Function Neural Networks ICLR 2024 Equivariant Neural Diffusion for Molecule Generation NeurIPS 2024 Equivariant spatio-hemispherical networks for diffusion MRI deconvolution NeurIPS 2024 Graph Automorphism Group Equivariant Neural Networks ICML 2024 Improving Equivariant Model Training via Constraint Relaxation NeurIPS 2024 Lie Group Decompositions for Equivariant Neural Networks ICLR 2024 MatrixNet: Learning over symmetry groups using learned group representations NeurIPS 2024 Monomial Matrix Group Equivariant Neural Functional Networks NeurIPS 2024 Pose-Transformed Equivariant Network for 3D Point Trajectory Prediction CVPR 2024 Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction ICLR 2024 Space-Time Continuous PDE Forecasting using Equivariant Neural Fields NeurIPS 2024 TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis CVPR 2024 4D Panoptic Segmentation as Invariant and Equivariant Field Prediction ICCV 2023 AbDiffuser: full-atom generation of in-vitro functioning antibodies NeurIPS 2023 A General Framework for Equivariant Neural Networks on Reductive Lie Groups NeurIPS 2023 A General Theory of Correct, Incorrect, and Extrinsic Equivariance NeurIPS 2023 A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining ICML 2023 Brauer’s Group Equivariant Neural Networks ICML 2023 Chemically Transferable Generative Backmapping of Coarse-Grained Proteins ICML 2023 Clifford Group Equivariant Neural Networks NeurIPS 2023 E2PN: Efficient SE(3)-Equivariant Point Network CVPR 2023 EDGI: Equivariant Diffusion for Planning with Embodied Agents NeurIPS 2023 End-to-End Full-Atom Antibody Design ICML 2023 Equivariant Adaptation of Large Pretrained Models NeurIPS 2023