Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction
Summary of Fu et al.'s 2025 paper that bridges the gap between test-set accuracy and downstream task performance for MLIPs by proposing energy …
Equivariant-Networks
2 posts tagged with equivariant-networks.
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Summary of Weiler et al.'s 3D Steerable CNNs paper from NeurIPS 2018, which introduces SE(3)-equivariant convolutional networks for volumetric data …