Gauri Gupta

Title: Gauri Gupta: Innovator in Synthetic Data Generation

Introduction

Gauri Gupta is an accomplished inventor based in Cambridge, MA (US). She has made significant contributions to the field of machine learning through her innovative patent. Her work focuses on generating synthetic tabular data, which is crucial for various applications in data science and artificial intelligence.

Latest Patents

Gauri Gupta holds a patent titled "Systems and methods for generating synthetic tabular data for machine learning and other applications." This patent describes a method where a variational autoencoder is trained to learn inter-feature correlations found in tabular data collected from real data sources. The trained variational autoencoder is then utilized to train a generator model of a Generative Adversarial Network (GAN). This model generates synthetic tabular data that reflects the inter-feature correlation distribution found in the original data. The process involves receiving a set of tabular data records, training a first machine learning model to learn correlations between features, and subsequently training a second model to generate synthetic records based on these correlations.

Career Highlights

Gauri Gupta is currently employed at Adobe, Inc., where she applies her expertise in machine learning and data generation. Her innovative approach to synthetic data generation has positioned her as a key player in her field.

Collaborations

Gauri collaborates with Siddarth Ramesh, a fellow innovator, to further enhance their research and development efforts in machine learning applications.

Conclusion

Gauri Gupta's work in synthetic data generation represents a significant advancement in machine learning technologies. Her innovative patent and contributions to Adobe, Inc. highlight her role as a leading inventor in this important field.