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a machine learning attack on Learning With Errors with sparse small secrets Cathy Y uanchen Li FAIR, Meta Emily Wenger The University of Chicago Zeyuan Allen-Zhu FAIR, Meta Francois Charton
For example, HE uses secrets with small entries, and the HE community has considered standardizing small sparse secrets to improve efficiency and functionality.
Efficient Leverage Score Sampling for Tensor Train Decomposition
In this paper, we propose an efficient algorithm to accelerate computing the TT decomposition with the Alternating Least Squares (ALS) algorithm relying on exact leverage scores sampling.
Towards Symmetry-Aware Generation of Periodic Materials
We consider the problem of generating periodic materials with deep models.
GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields
However, point cloud registration methods struggle to achieve precise global pose estimation, whereas previous pose-free NeRFs overlook geometric consistency in global reconstruction.