Ankit Singh Rawat

Title: Ankit Singh Rawat: Innovator in Machine Learning Technologies

Introduction

Ankit Singh Rawat is a prominent inventor based in New York, NY (US). He has made significant contributions to the field of machine learning, particularly in developing systems and methods that enhance model training and classification accuracy. With a total of 2 patents, Ankit is recognized for his innovative approaches to complex problems in artificial intelligence.

Latest Patents

Ankit's latest patents include groundbreaking work on "Sampled Softmax with Random Fourier Features." This patent describes systems and methods for low bias negative sampling of classes according to the sampled softmax method. The technology involves training a machine-learned model to classify inputs into various classes, utilizing a probability distribution that approximates a softmax distribution based on a Random Fourier Features map. Another notable patent is focused on "Training Machine Learning Models to be Robust Against Label Noise." This method employs a regularization scheme to generate regularized partial gradients of losses, enhancing the training process of neural networks.

Career Highlights

Ankit is currently employed at Google Inc., where he continues to push the boundaries of machine learning research. His work is instrumental in developing advanced algorithms that improve the efficiency and accuracy of AI systems. His innovative contributions have positioned him as a key figure in the tech industry.

Collaborations

Ankit collaborates with talented individuals such as Sanjiv Kumar and Xinnan Yu. Together, they work on various projects that aim to advance the field of machine learning and artificial intelligence.

Conclusion

Ankit Singh Rawat is a distinguished inventor whose work in machine learning is paving the way for future innovations. His patents reflect a deep understanding of complex algorithms and their applications in real-world scenarios.