Sunnyvale, CA, United States of America

Krishnaram Kenthapadi

This inventor holds 77 USPTO granted patents and 77 published patent applications, primarily in Machine Learning (CPC class G06F). Top assignees: Microsoft Technology Licensing, LLC, Amazon Technologies, Inc., Fiddler Labs Inc. Active years: 2012-2026.

USPTO Granted Patents = 77 

% Patents Active = 89.6

Average Co-Inventor Count = 3.0

ph-index = 7

Forward Citations = 216(Granted Patents)

Forward Citations (Not Self Cited) = 192(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Mountain View, CA (US) (2012 - 2014)
  • Sunnyvale, CA (US) (2017 - 2024)

Company Filing History:


Years Active: 2012-2026

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Areas of Expertise:
Bias Metrics
Feature Attribution
Data Integrity
Data Drift Detection
Hyperparameter Optimization
Confidential Data
Unsupervised Learning
Recommendation Systems
Neural Networks
Entity Representations
Job Search Techniques
Synthetic Data
77 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Krishnaram Kenthapadi

Introduction: Krishnaram Kenthapadi, based in Sunnyvale, CA, is a prolific inventor with an impressive portfolio of 73 patents. His contributions primarily focus on advancements in computer vision and machine learning technologies, significantly impacting the field.

Latest Patents: Kenthapadi's latest patents showcase his expertise in developing innovative solutions for challenging problems in machine learning. One notable patent involves performing explanation jobs for computer vision tasks. This invention allows for the extraction of different features from images and determines the respective importance values of these features concerning the inferences produced by computer vision models. The results include generated heat maps, enhancing the interpretability of machine learning models.

Additionally, he has patented a method for providing global explanations of machine learning model predictions for input containing text attributes. This involves identifying related token groups from text attributes and generating record-level prediction influence scores. An aggregate prediction influence score is then produced, leading to a comprehensive explanatory data set based on these scores.

Career Highlights: Throughout his career, Krishnaram Kenthapadi has worked for prestigious organizations such as Microsoft Technology Licensing, LLC and Amazon Technologies, Inc. His roles in these companies have allowed him to leverage his skills and further his contributions to the field of technology through patentable inventions.

Collaborations: Kenthapadi has collaborated with esteemed coworkers, including Stuart MacDonald Ambler and Ryan Wade Sandler. These partnerships have played a crucial role in advancing his research and the development of innovative solutions.

Conclusion: Krishnaram Kenthapadi's innovative work in the realm of computer vision and machine learning stands as a testament to his significant contributions to technology. With 73 patents to his name, his inventions not only demonstrate his expertise but also enhance the functionality and interpretability of machine learning systems. As he continues to innovate, Kenthapadi remains an influential figure in the tech industry.

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