This example shows how to detect out-of-distribution text data using a variational autoencoder (VAE). An encoder that encodes data in a lower-dimensional parameter space. A decoder that reconstructs ...

This folder implements MAE operations. Key components of transformers are located inside +layers. To run the code: To visualize the attention map, run MAE_inference_vit_[base/large].m. This will ...

Abstract: An autoencoder is a neural network that generates data highly similar to the input data for output. Although an autoencoder theoretically produces output almost identical to the input upon ...

Abstract: Electrocardiograms (ECG) are vital for diagnosing various cardiac conditions but are often corrupted by noise from multiple sources, which can hinder accurate interpretation. Denoising ECG ...

In this paper, we introduce a new method to analyse HIV using a combination of autoencoder networks and genetic algorithms. The proposed method is tested on a set of demographic properties of ...