Chamfer Distance and Earth Mover’s Distance
About To evaluate distance between point cloud to pointcloud, Chamfer Distance and Earth Mover’s distance are frequently used. What is…
MachineLearning
kevin-tofu DeepSDF
https://arxiv.org/abs/1901.05103 About There are so many methods suggested to represent 3D shapes such as mesh, point cloud or volume. But…
IsoGCN
About I heard interesting research IsoGCN, which is designed for solving physics problem to take isometric transformation invariant and equivariant…
Interpretation of Variational GP
About I found beautiful formulation that introduces inducing points and variational method on Gaussian Process in this paper. Felix Leibfried,…
Gaussian Process Classification
I am reading a paper, “Scalable Variational Gaussian Process Classification” that James Hensman, Alex Matthews and Zoubin Ghahramani’s work(https://arxiv.org/abs/1411.2005). The…
Numeric and Categorical data handling
About It is quite important to deal with both numeric and categorical data simultaneously when we get tabular dataset. But…
The determinant of semi positive definite matrix
About There are some cases to compute determinants of covariance matrix such as marginal log likelihood in multi variate Gaussian…
Is TPESamler really using TPE?
What is TPESample? understand TPE as a search algorithm that uses kernel density estimation. This implementation can be found in…
How TuRBO defines trust region
About TuRBO is an algorithm that adaptively determines a specific local region, termed the ‘trusted region,’ based on the outcomes…
Multi-Output and Multi-Task in Gaussian Process
About In BoTorch documentation, it is clearly mentioned that multiple-output and multiple task is different, and every GPs including SingleTaskGP…