Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

The three-dimensional world of ordinary experience—the universe filled with galaxies, stars, planets, houses, boulders, and ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Abstract: Deep learning (DL) has been garnering increasing attention ... we present a simple but effective multimodal DL baseline by following a deep encoder–decoder network architecture, EndNet for ...

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 ...

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...

In this paper, an efficient deep convolutional encoder-decoder network framework is proposed to remove the noise from ECG signal, which is termed as `DeepCEDNet'. This network is able to learn a ...