Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

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

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

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 ...