SYNTHETIC DATA GENERATION WHILE PRESERVING OBSERVABLE AND MISSING DATA DISTRIBUTIONS
Model illustrating synthetic data generation
Developers and analysts often require large, accurately labeled datasets when training AI models, though it can be unrealistically time-consuming and expensive, and in many cases impossible due to privacy and confidentiality, to obtain real-world datasets. Algorithms...
Inventor(s): Jaideep Vaidya, Hafiz Asif, Xinyue Wang
Category(s): Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright