Jalal Fadili

Strong minima ensure stability and uniqueness in optimization solutions across various fields.

This study examines using neural networks to recover signals from noisy observations.

Examining how uniqueness aids in solving convex optimization problems.

A new framework enhances optimization algorithms using data-driven learning techniques.