Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Real-world data typically exhibits long-tailed class distribution and contains label noise. Previous long-tail learning ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...