C&EN

Multimodal Cross-Attention Molecular Property Prediction for Text, Sequence, Graph, and Geometry

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The disadvantage of unimodal learning is its incapacity to ...
GitHub

torch.compile incompatible with CUDA Graph capture due to RNG state access during compilation

When using torch.compile() inside a CUDA Graph capture context, the compilation process fails because it attempts to access CUDA RNG state, which is prohibited during graph capture. This prevents ...
GitHub

Training-Free Hierarchical Scene Understanding for Gaussian Splatting with Superpoint Graphs

a) Preprocessing: Scene reconstruction and extraction of 2D semantic maps. b) Contrastive Gaussian Partitioning: A Gaussian adjacency graph is created, and its edge weights are adjusted using ...
IEEE

Robust Pose Graph Optimization Using Two-Stage Initialization and Covariance Matrix Rescaling Algorithm

Abstract: The back-end module of Simultaneous Localization and Mapping (SLAM) involves solving a nonlinear Pose Graph Optimization (PGO) problem. Typically, back-end optimization algorithms for SLAM ...