PAINET proposes an SE(3)-equivariant transformer with physics-inspired attention from energy minimization for 3D dynamics modeling, reporting 4.7-41.5% error reductions on human motion, molecular, and protein benchmarks.
Se (3)-transformers: 3d roto- translation equivariant attention networks.Advances in neural information processing systems, 33:1970–1981,
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PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling
PAINET proposes an SE(3)-equivariant transformer with physics-inspired attention from energy minimization for 3D dynamics modeling, reporting 4.7-41.5% error reductions on human motion, molecular, and protein benchmarks.