Large deep neural networks are powerful, but exhibit undesirable behaviors such as
memorization and sensitivity to adversarial examples. In this work, we propose mixup, a …

Circulating Tumor Cells (CTCs) are cancer cells that split away from the primary tumor and
appear in the circulatory system as singular units or clusters, which was first reported by Dr …

The pentatricopeptide repeat (PPR) family plays a major role in RNA stability, regulation,
processing, splicing, translation, and editing. Leucine-rich PPR-motif-containing protein …

Breast cancer has been the leading cause of female cancer deaths for decades. Intratumoral
hypoxia, mainly caused by structural and functional abnormalities in microvasculature, is …

In this communication, we show that ultrathin Au nanowires (NWs) with dominant edge sites
on their surface are active and selective for electrochemical reduction of CO2 to CO. We first …

Epithelial–mesenchymal transition (EMT) contributes to tumor invasion and metastasis in
many cancers and correlates highly with the acquisition of cancer stem cell (CSC) …

Normalization layers are a staple in state-of-the-art deep neural network architectures. They
are widely believed to stabilize training, enable higher learning rate, accelerate …

We study optimization of finite sums of\emph {geodesically} smooth functions on
Riemannian manifolds. Although variance reduction techniques for optimizing finite-sums …

Increased neoantigens in hypermutated cancers with DNA mismatch repair deficiency
(dMMR) are proposed as the major contributor to the high objective response rate in anti-PD …

Geodesic convexity generalizes the notion of (vector space) convexity to nonlinear metric
spaces. But unlike convex optimization, geodesically convex (g-convex) optimization is …