Transformers are a type of neural network architecture that was first developed by Google in its DeepMind laboratories. The ...

Aurora, a foundation model developed by researchers from Microsoft, the University of Pennsylvania (UPenn), and several other ...

Abstract: Transformer-based deep learning networks have achieved ... The adaptable decoder can better fuse the multi-scale output features of the encoder while keeping the number of parameters low, ...

Using a table [1] with twelve physicochemical properties values for each 3-mers, we standardize the values and calculate pc3mer by decomposing the input sequence into 3-mers and replacing each 3-mers ...

we propose a multiple-input–multiple-output (MIMO) variational autoencoder (VAE) and subsequently apply it to cross-modal information recovery and enhancement. For a cross-modal system with two ...

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