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Zachary Krueger

1 accepted papers

2025

Tensor Decomposition Networks for Accelerating Machine Learning Force Field Computations

NeurIPS 2025poster

SO(3)-equivariant networks are the dominant models for machine learning interatomic potentials (MLIPs). The key operation of such networks is the Clebsch-Gordan (CG) tensor product, which is computationally expensive. To accelerate the computation, we develop tensor decomposition networks (TDNs) as…

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