Paris, France

Evgeny Kharitonov

This inventor holds 1 USPTO granted patent and 2 published patent applications and 1 EPO patent. Top assignee: Google Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Evgeny Kharitonov. Retrieved from https://idiyas.com/inventor/evgeny-kharitonov

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 18.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Evgeny Kharitonov: Innovator in Generative Neural Networks

Introduction: Evgeny Kharitonov is an inventive mind based in Paris, France. He is currently associated with Google Inc., where he focuses on advancements in generative neural networks. Although he has not yet been granted any patents, his contributions to the field are noteworthy.

Latest Patent Applications: Evgeny Kharitonov has filed several patent applications that showcase his innovative approaches. One of his latest applications is titled "Semi-Supervised Text-to-Speech by Generating Semantic and Acoustic Representations." This application describes methods, systems, and apparatus for generating an audio signal from input text. The process involves receiving a request to convert input text into an audio signal, generating a semantic representation using a generative neural network, and creating an acoustic representation conditioned on the semantic representation. Another significant application is "Performing Tasks Using Generative Neural Networks." This application outlines methods for performing tasks by obtaining a sequence of input tokens, generating embeddings, and processing these embeddings using a language model neural network.

Conclusion: Evgeny Kharitonov is a promising inventor whose work in generative neural networks has the potential to impact various technological fields. His latest patent applications reflect his innovative spirit and dedication to advancing technology.

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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