Nov 8, 2019 · Deep point pattern design means to optimize over the space of all such compositions according to a user-provided point correlation loss.
Deep point pattern design means to optimize over the space of all such compositions according to a user-provided point correlation loss, a small program which ...
Our point patterns scale favorably to multiple dimensions and numbers of points: we demonstrate nearly 10k points in 10-D produced in one second on one GPU.
Now you need to specify any targets that you want to use. You can define any number of spectra and differential histograms by concatenating them into lists.
Deep Point Correlation Design | Request PDF - ResearchGate
www.researchgate.net › publication › 33...
Oct 22, 2024 · Designing point patterns with desired properties can require substantial effort, both in hand-crafting coding and mathematical derivation.
Feb 21, 2022 · This paper uses a deep learning method to extract point cloud features with construction and correlation information. In this section ...
Nov 5, 2024 · A novel noise regularization approach is developed to prevent deep canonical correlation analysis-based methods from model collapse.
We propose a unified analysis and general synthesis algorithms for point distributions. We employ the pair correlation function as the basis of our methods and ...
Jan 24, 2024 · The physics-informed machine learning models demonstrate great accuracy and high efficiency in solving the forward and inverse OZ problems of various bulk ...