Developing software for easy estimation of 3D gene expression distribution. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 03 / 250326123556.htm ...

To optimize analysis of fine-tuned regulations in this dataset, we have adapted a Sparse supervised autoencoder (SSAE) neural network Barlaud and Guyard (2021a), where we relax the parametric ...

Masked autoencoder for distribution estimation (MADE) is a well-structured density estimator, which alters a simple autoencoder by setting a set of masks on its connections to satisfy the ...

Then, based on the mask acquired with ... For the whole 210 cases, the distribution of adjusted hyper-parameters ‘n_cluster1’, ‘n_cluster2’, and ‘n_cluster3’ was plotted in Figure 3A using the kernel ...

This paper invented an alternative and less rigorous method of deriving Gaussian distribution from basic random experiment conditional on some assumptions. is called the normal probability density ...

Paper on arXiv and at ICML2015. This repository is for the original Theano implementation. If you are looking for a PyTorch implementation, thanks to Andrej Karpathy, you can fine one here.