To address these challenges, we propose a Noise-Consistent hypeRgraph AutoEncoder framework with denoising strategies, termed NCRAE, aimed at achieving robust node embeddings in ceRNA regulatory ...

Kara et al. [46] proposed FreqMAE, a self-supervised masked autoencoder that incorporates domain-specific signal processing for multi-modal IoT environments. Its architecture includes a ...

Thanks for your great work with MAISI. The mask_generation_autoencoder has 8 input channels. What is the kind of data that is required as input? Would you have an example on how to use the mask ...

A cross-attention network based on masked autoencoder called single-cell multimodal masked autoencoder - Xubin-s-Lab/scMMAE ...

To the best of our knowledge, AstroMAE represents the first application of a masked autoencoder to astronomical data. By ignoring labels during the pretraining phase, the encoder gathers a general ...

Redshift prediction is a fundamental task in astronomy, essential for understanding the expansion of the universe and determining the distances of astronomical objects. Accurate redshift prediction ...