Bihar, India

Shashank Shailabh


Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):

Title: Shashank Shailabh: Innovator in Neural Topic Modeling

Introduction

Shashank Shailabh is a notable inventor based in Bihar, India. He has made significant contributions to the field of artificial intelligence, particularly in the area of topic modeling. His innovative work has led to the development of a unique patent that enhances the understanding of document topics through advanced neural networks.

Latest Patents

Shashank holds a patent titled "System and methods for neural topic modeling using topic attention networks." This patent describes systems and methods for topic modeling that include encoding words of a document using an embedding matrix to obtain word embeddings. The words of the document comprise a subset of words in a vocabulary, and the embedding matrix is trained as part of a topic attention network based on multiple topics. The methods further include encoding a topic-word distribution matrix using the embedding matrix to obtain a topic embedding matrix, which represents relationships between the plurality of topics and the words of the vocabulary. Additionally, the systems compute a topic context matrix based on the topic embedding matrix and the word embeddings, ultimately identifying a topic for the document based on the topic context matrix.

Career Highlights

Shashank is currently employed at Adobe Inc., where he applies his expertise in artificial intelligence and machine learning. His work at Adobe allows him to collaborate with other talented professionals in the field, contributing to innovative projects that push the boundaries of technology.

Collaborations

Some of Shashank's coworkers include Madhur Panwar and Milan Aggarwal. Their collaboration fosters a creative environment that encourages the exchange of ideas and the development of cutting-edge solutions.

Conclusion

Shashank Shailabh is a pioneering inventor whose work in neural topic modeling has the potential to transform how we understand and process information. His contributions to the field of artificial intelligence are noteworthy and reflect his commitment to innovation.

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