Search Results for author:
Found 3 papers, 2 papers with code
Data-Driven Score-Based Models for Generating Stable Structures with Adaptive Crystal Cells
The discovery of new functional and stable materials is a big challenge due to its complexity.
False membership rate control in mixture models
In this paper the approach is revisited in an unsupervised mixture model framework and the purpose is to develop a method that comes with the guarantee that the false membership rate (FMR) does not exceed a pre-defined nominal level $\alpha$.
Properties of the Stochastic Approximation EM Algorithm with Mini-batch Sampling
To deal with very large datasets a mini-batch version of the Monte Carlo Markov Chain Stochastic Approximation Expectation-Maximization algorithm for general latent variable models is proposed.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
