Tokyo, Japan

Vishal Kashyap

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Mercari, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vishal Kashyap. Retrieved from https://idiyas.com/inventor/vishal-kashyap

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Vishal Kashyap: Inventor of an Automatic Ontology Generation System

Introduction

Vishal Kashyap is an inventor based in Tokyo, Japan, and is associated with Mercari, Inc. His patent work includes a method for automatically generating ontologies from embedding representations.

Latest Patents

Kashyap is associated with 1 patent: “Automatic Ontology Generation by Embedding Representations.” The disclosed system receives a vectorized feature set derived from an embedding and processes it through multiple fusers to generate a representation. It then derives tasks from that representation, assigns each task qualifiers such as a weight value, loss function, and feedforward function, and computes weighted losses. The system uses backpropagation through the fuser set, feature set, embedding, or a combination of these components to produce a data model.

Career Highlights

The patent describes an approach to training data models for automatic ontology generation. It combines embedding-based features, multiple fusers, task-specific qualifiers, and weighted-loss calculations in a backpropagation process.

Collaborations

The provided information lists Sho Arora and Jeffrey Kenichiro Hara as Kashyap’s coworkers. It does not specify their roles in the patent or the nature of their collaboration.

Conclusion

Vishal Kashyap’s disclosed patent focuses on using embedding representations and task-specific learning processes to automate ontology generation.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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