6 posts tagged with geometric-deep-learning.
Summary of Liu et al.'s ICLR 2025 paper introducing DenoiseVAE, a novel pre-training framework that learns molecule-adaptive and atom-specific noise …
Summary of Luo et al.'s 2025 paper introducing SPHNet, an SE(3)-equivariant network that uses adaptive sparsity to dramatically improve the efficiency …
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 …
Summary of Lu et al.'s 2025 paper introducing SpaceFormer, a Transformer-based framework that models the entire 3D space around a molecule—not just …
Learn how GEOM transforms 2D molecular graphs into dynamic 3D conformer ensembles for molecular machine learning applications.
Summary of Weiler et al.'s 3D Steerable CNNs paper from NeurIPS 2018, which introduces SE(3)-equivariant convolutional networks for volumetric data …