Clifford Sheaf Neural Networks
Clifford Sheaf Neural Networks use K-term sandwich maps for grade-mixing equivariant regression on geometric graphs.
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Stories tagged #geometric-deep-learning
E3J: An Efficient and Open-Source Backend for Euclidean Equivariant Operations on GPU and TPU
Open-source e3j speeds Euclidean-equivariant GPU and TPU kernels, beating cuEquivariance on a MACE simulation.
Comprehensive reconstruction of collider events with hypergraph representation learning and graph-conditioned diffusion
VyPER framework reconstructs collider events using hypergraph representation learning and graph-conditioned diffusion, outperforming existing reconstruction techniques across Standard Model processes.