The use of data-driven methods in fluid mechanics has surged dramatically in recent years
due to their capacity to adapt to the complex and multi-scale nature of turbulent flows, as …

Are score function estimators an underestimated approach to learning with $ k $-subset
sampling? Sampling $ k $-subsets is a fundamental operation in many machine learning …

Deep neural networks and large-scale datasets have revolutionized the field of machine
learning. However, these large networks are susceptible to overfitting to label noise …