San Francisco, CA, United States of America

Charles Kenneth Fisher

This inventor holds 7 USPTO granted patents and 11 published patent applications. Top assignees: Unlearn.ai, Inc., Unlearn.al, Inc.. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Charles Kenneth Fisher. Retrieved from https://idiyas.com/inventor/charles-kenneth-fisher

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

USPTO Granted Patents = 7 

% Patents Active = 100.0

Average Co-Inventor Count = 2.9

ph-index = 2

Forward Citations = 13(Granted Patents)


Location History:

  • San Francisco, CA (US) (2023)
  • Truckee, CA (US) (2024)

Company Filing History:


Years Active: 2023-2026

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7 patents (USPTO):Explore Patents

Title: Innovations of Charles Kenneth Fisher

Introduction

Charles Kenneth Fisher is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of technology, particularly in systems and methods for data analysis and forecasting. With a total of five patents to his name, Fisher continues to push the boundaries of innovation.

Latest Patents

Fisher's latest patents include "Systems and methods enabling baseline prediction correction" and "Systems and methods for training generative models using summary statistics and other constraints." The first patent illustrates systems and techniques for time-series forecasting. This method refines time-series forecasts by obtaining timestep information, including baseline information, a time gap, and context information. The baseline information encompasses what is known about the system at the time the multivariate time-series is generated. The context information includes at least one vector of time-independent background variables related to the system. The method determines parameter predictions for the system at different timesteps and updates these predictions based on discrepancies between predicted and actual state values.

The second patent focuses on training constrained generative models. This method involves receiving a set of data samples from a first distribution, identifying constraints from a second distribution, and training a generative model based on these samples and constraints.

Career Highlights

Fisher is currently employed at Unlearn.ai, Inc., where he applies his expertise in developing innovative solutions. His work has been instrumental in advancing the capabilities of generative models and time-series forecasting.

Collaborations

Fisher collaborates with talented individuals such as Aaron Smith and Jonathan Ryan Walsh, contributing to a dynamic and innovative work environment.

Conclusion

Charles Kenneth Fisher is a prominent inventor whose work in data analysis and forecasting continues to influence the technology landscape. His patents reflect a commitment to innovation and excellence in his field.

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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