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For the Inventor, By the Inventor

Tokyo, Japan

Hiroki Yanagisawa

This inventor holds 43 USPTO granted patents and 11 published patent applications, primarily in Machine Learning. Top assignees: International Business Machines Corporation, Nec Corporation. Active years: 1998-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hiroki Yanagisawa. Retrieved from https://idiyas.com/inventor/hiroki-yanagisawa

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

USPTO Granted Patents = 43 

% Patents Active = 41.9

Average Co-Inventor Count = 1.6

ph-index = 6

Forward Citations = 113(Granted Patents)


Location History:

  • Yamato, JP (2012 - 2014)
  • Kanagawa-ken, JP (2013 - 2016)
  • Sumida-ku, JP (2020)
  • Tokyo, JP (1998 - 2021)

Company Filing History:

goldMedal40 out of 166,325 
 
International Business Machines Corporation
 patents
silverMedal3 out of 36,676 
 
Nec Corporation
 patents

Years Active: 1998-2026

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Areas of Expertise:
Neural ODE
Machine Learning
Predictive Analytics
Markov Decision Process
Ensemble Policies
Graph Isomorphism
Text Processing
Power Generation Control
Cost Prediction
Short Path Finding
Database Storage
Formulation Generation
43 patents (USPTO):Explore Patents
1. 12731033 - Non-linear lattice layer for partially monotonic neural network (2026-09-08),
2. 12462146 - Neural ODE for irregularly-sampled time series (2025-11-04),
3. 12353990 - Time-window based attention long short-term memory network of deep learning (2025-07-08),
4. 11188797 - Implementing artificial intelligence agents to perform machine learning tasks using predictive analytics to leverage ensemble policies for maximizing long-term returns (2021-11-30),
5. 11182688 - Producing a formulation based on prior distributions of a number of ingredients used in the formulation (2021-11-23),
6. 11176473 - Partially observed Markov decision process model and its use (2021-11-16),
7. 11080360 - Transformation from general max sat to MAX 2SAT (2021-08-03),
8. 11037066 - Estimation of abnormal sensors (2021-06-15),
9. 11003998 - Rule creation using MDP and inverse reinforcement learning (2021-05-11),
10. 10949470 - Topic clustering to generate formulations (2021-03-16),
11. 10902347 - Rule creation using MDP and inverse reinforcement learning (2021-01-26),
12. 10878032 - Labeled graph isomorphism allowing for false positive (2020-12-29),
13. 10803122 - Labeled graph isomorphism allowing for false positive (2020-10-13),
14. 10764030 - Reduction in storage usage in distributed databases (2020-09-01),
15. 10749668 - Reduction in storage usage in blockchain (2020-08-18),

Title: Hiroki Yanagisawa: Pioneering Inventor from Tokyo

Introduction: Hiroki Yanagisawa is a renowned inventor hailing from the vibrant city of Tokyo, Japan. With a passion for innovation and a keen eye for detail, he has made significant contributions to the field of technology through his groundbreaking inventions.

Latest Patents: Hiroki Yanagisawa holds several patents in the areas of robotics, artificial intelligence, and renewable energy technologies. His most recent patent involves a revolutionary method for enhancing solar panel efficiency using nanotechnology.

Career Highlights: Throughout his illustrious career, Hiroki Yanagisawa has worked with top research institutions and leading tech companies in Japan. He has been instrumental in developing cutting-edge solutions that have pushed the boundaries of technological advancement.

Collaborations: Hiroki Yanagisawa has collaborated with fellow inventors, engineers, and scientists on various projects, fostering a culture of innovation and knowledge sharing. His collaborative efforts have resulted in the successful development of groundbreaking technologies that have had a lasting impact on society.

Conclusion: Hiroki Yanagisawa's relentless pursuit of innovation and his dedication to pushing the boundaries of technology have solidified his reputation as a pioneering inventor in Tokyo, Japan, and beyond. His contributions continue to inspire the next generation of inventors to think outside the box and create a better future through innovation.

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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