To address these issues, a Convolutional Encoder- Decoder with Scale-Recursive Reconstructor (ConvED-SR) is proposed for SEEG speech decoding. ConvED-SR first extracts multiscale speech-related ...

Abstract: In this paper, we propose a novel Average autoencoder (AE)-based amplify-and-forward ... and destination nodes are equipped with neural network (NN)-based encoder and decoder, while a ...

Researchers have developed an alternative method to encode information in synthetic molecules, which they used to encode and then decode an 11-character password to unlock a computer. The work is ...

Any audio source with an analog audio out — a PC Sonos amp, CD player, microphone, and more — can be connected and played on any decoder. As an audio output, the ST1 in encoder mode can play any ...

there is no adversarial network, nor any image loss, robustness with regards to JPEG is done by stopping the gradient (see Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical ...

A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.

Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent ...