Latest Articles for Regularization

Discover how the Epstein zeta function aids research in physics and material science.

Neural networks restore clarity in challenging inverse problems across various fields.

Improving Gromov-Wasserstein distance to handle outliers effectively in diverse data sets.

Discover how researchers tackle complex mysteries in science and engineering.

Explore gradient descent and its variations for effective optimization.

A dataset that tests the limits of machine learning algorithms.