IDiyas

For the Inventor, By the Inventor

Yokohama, Japan

Ryuki Tachibana

USPTO Granted Patents = 47 

Average Co-Inventor Count = 3.1

ph-index = 5

Forward Citations = 429(Granted Patents)


Location History:

  • Yamato, JP (2005 - 2010)
  • Kanagawa, JP (2014 - 2021)
  • Tokyo, JP (2017 - 2022)
  • Setagaya, JP (2022)
  • Yokohama, JP (2008 - 2023)
  • Kanagawa-ken, JP (2010 - 2023)
  • Setagaya-ku, JP (2022 - 2023)

Company Filing History:

goldMedal43 out of 164,108 
 
International Business Machines Corporation
 patents
silverMedal4 out of 1,422 
 
Nuance Communications, Inc.
 patents

Years Active: 2005-2025

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47 patents (USPTO):Explore Patents
1. 12367566 - Image anomaly detection by enhancing patched features (2025-07-22),
2. 12306956 - Transfer anomaly detection using online deep sets (2025-05-20),
3. 12217191 - Learning unpaired multimodal feature matching for semi-supervised learning (2025-02-04),
4. 12131257 - Sound anomaly detection with mixed augmented datasets (2024-10-29),
5. 11823039 - Safe and fast exploration for reinforcement learning using constrained action manifolds (2023-11-21),
6. 11734575 - Sequential learning of constraints for hierarchical reinforcement learning (2023-08-22),
7. 11693925 - Anomaly detection by ranking from algorithm (2023-07-04),
8. 11537872 - Imitation learning by action shaping with antagonist reinforcement learning (2022-12-27),
9. 11501157 - Action shaping from demonstration for fast reinforcement learning (2022-11-15),
10. 11468334 - Closed loop model-based action learning with model-free inverse reinforcement learning (2022-10-11),
11. 11468310 - Constraining actions for reinforcement learning under safety requirements (2022-10-11),
12. 11461375 - User interface for streaming spoken query (2022-10-04),
13. 11443758 - Anomalous sound detection with timbre separation (2022-09-13),
14. 11410023 - Lexicographic deep reinforcement learning using state constraints and conditional policies (2022-08-09),
15. 11257240 - Accelerated object labeling using prior geometric knowledge (2022-02-22),

Title: Innovative Mind: Ryuki Tachibana

Introduction

Ryuki Tachibana, located in Yokohama, Japan, is a renowned inventor with an impressive portfolio of 45 patents. His work has significantly contributed to the fields of technology and artificial intelligence, showcasing his commitment to pushing the boundaries of innovation.

Latest Patents

Among his latest patents are groundbreaking methods that harness artificial intelligence for practical applications. One of his notable patents, titled "Learning Unpaired Multimodal Feature Matching for Semi-Supervised Learning," outlines a computer-implemented method for learning multimodal feature matching. This method includes training an image encoder to obtain encoded images, training a common classifier using labeled images, and training a text encoder to match predicted text embeddings to a fitted Gaussian distribution on the encoded images.

Another significant patent is "Sound Anomaly Detection with Mixed Augmented Datasets," which introduces methods for training neural networks through various forms of data augmentation on sample waveforms. This innovative approach allows for the generation and labeling of both normal and abnormal data augmentation samples, enhancing the neural network's ability to identify different forms of data augmentation on waveforms.

Career Highlights

Ryuki Tachibana has had a distinguished career, having worked with notable corporations such as IBM and Nuance Communications. His innovative spirit and technical expertise have allowed him to contribute to numerous projects that integrate advanced technology and machine learning.

Collaborations

Throughout his career, Tachibana has collaborated with talented individuals in the field, including Gakuto Kurata and Masayuki A. Suzuki. These collaborations have fostered a creative environment that promotes innovation and the development of cutting-edge technology.

Conclusion

Ryuki Tachibana stands out as a visionary inventor whose recent patents continue to pave the way for advancements in artificial intelligence and technology. His contributions are not only shaping the future of these fields, but also inspiring a new generation of innovators.

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