To fill this gap, we propose two attention-mechanism-based encoder–decoder models that incorporate multisource information: one is MAEDDI, which can predict DDIs, and the other is MAEDDIE, which can ...

To this end, we propose a novel video summarization framework named attentive encoder-decoder networks for video summarization ... are explored by using additive and multiplicative objective functions ...

Large language models (LLMs), when trained on extensive plant genomic data, can accurately predict gene functions and ...

To benefit from an encoder with linear complexity in the lattice dimension, we obtain the generator matrix of these lattices in quasi-cyclic form. We generalize the proposed quasi-cyclic form of the ...

We refer to the function in Equation 1 as full attention [6], because ... We introduce Fourier mixed window attention (FWin) to the self-attention blocks in the encoder and decoder of Informer.

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 ...