Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

Donna Cline has been voting at Gilpin Township Fire Department polling place at 99 Fire Hall Road for nearly 30 years. “This is the community I live in, and I wanted to make sure that we ...

Before Journalism sped down the final stretch to earn a narrow victory in the 150th running of the Preakness Stakes, longtime spectators noted the track’s many empty seats and vacant infield ...

Therefore, we propose a novel generative dynamic graph variational sparse coding framework for spatiotemporal ... A dynamic graph variational autoencoder (DGVAE) is developed to learn the generative ...

Abstract: We propose Denoising Masked Autoencoder (Deno-MAE), a novel multimodal autoencoder ... The network is pre-trained using unlabeled noisy modulation signals and constellation diagrams, ...

In this study, we applied the anomaly detection method based on sparse structure learning of the element correlation within MD trajectories to identify important features associated with state ...

This is an autoencoder with cylic loss and coding parsing loss for image compression and reconstruction. Network backbone is simple 3-layer fully conv (encoder) and symmetrical for decoder. Finally it ...

This is the accompanying code for the paper, "Multi-Domain Translation between Single-Cell Imaging and Sequencing Data using Autoencoders" (bioRxiv) ...