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 efficiently implement the conditioner, this method relies on the Masked Autoencoder for Distribution Estimation (MADE) [Germain et al., 2015] architecture. To create a neural network that obey the ...

The main contributions are 1) redefining the polyp segmentation task as an out-of-distribution detection problem; 2) learning a distribution for healthy samples using a masked autoencoder ...

Autoregressive models are among the most successful neural network methods for estimating a distribution from a set of samples. However, these models, such as other neural methods, need large data ...

Masked autoencoders (MAEs) are a self-supervised pretraining strategy for vision transformers (ViTs) that masks-out patches in an input image and then predicts the missing regions. Although the ...