Samuel Paul Leeman-Munk

USPTO Granted Patents = 13 (Patent Applications = 1)

Average Co-Inventor Count = 4.4

ph-index = 5

Forward Citations = 88(Granted Patents)

Location History:

Raleigh, NC (US) (2017)
Cary, NC (US) (2018 - 2019)
Durham, NC (US) (2021 - 2023)

Company Filing History:

North Carolina State University

patents

where one patent can have more than one assignee

Years Active: 2017-2025

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13 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12346404 - Decoder-only transformer model for time series data (2025-07-01),

2. 12277409 - Systems, methods, and graphical user interfaces for training a code generation model for low-resource languages (2025-04-14),

3. 11704351 - Machine-learning model for performing contextual summarization of text data (2023-07-18),

4. 11501084 - Graphical user interface for visualizing contributing factors to a machine-learning model's output (2022-11-15),

5. 11074412 - Machine learning classification system (2021-07-27),

6. 10324983 - Interactive visualizations for a recurrent neural network (2019-06-18),

7. 10235622 - Pattern identifier system (2019-03-19),

8. 10192001 - Visualizing convolutional neural networks (2019-01-29),

9. 10191921 - System for expanding image search using attributes and associations (2019-01-29),

10. 10048826 - Interactive visualizations of a convolutional neural network (2018-08-14),

11. 9934462 - Visualizing deep neural networks (2018-04-03),

12. 9595002 - Normalizing electronic communications using a vector having a repeating substring as input for a neural network (2017-03-14),

13. 9552547 - Normalizing electronic communications using a neural-network normalizer and a neural-network flagger (2017-01-24),

Title: Innovations by Samuel Paul Leeman-Munk: A Look at His Contributions

Introduction

Samuel Paul Leeman-Munk is a distinguished inventor based in Cary, NC, whose innovative spirit has led to the granting of 13 patents. His work primarily revolves around advancements in technology, particularly in the realms of data processing and code generation.

Latest Patents

One of Leeman-Munk's significant recent patents is the "Decoder-only transformer model for time series data," which introduces a system and method for forecasting future data points in long sequence time series data using a sophisticated decoder-only transformer model. This innovative approach involves dividing the data into multiple sequences, converting them into vectors, and employing a convolution operation to make accurate predictions of future data points.

Another notable invention is the patent for "Systems, methods, and graphical user interfaces for training a code generation model for low-resource languages." This comprehensive system encompasses identifying code synthesis items, generating synthesis prompts, evaluating raw code segments, and training a code generation model through validated code synthesis samples. The incorporation of user-friendly interfaces for specifying coding tasks through text or speech showcases his commitment to making technology more accessible.

Career Highlights

Leeman-Munk's professional journey includes impactful stints at various esteemed organizations. He has contributed his expertise to SAS Institute Inc. and North Carolina State University. At these institutions, he has been at the forefront of pushing the boundaries of technology and innovation.

Collaborations

Throughout his career, Samuel has collaborated with esteemed colleagues such as James Allen Cox and Saratendu Sethi. These collaborations have fostered a dynamic exchange of ideas, enriching the development of his innovative projects.

Conclusion

Samuel Paul Leeman-Munk's contributions to technology through his patents highlight his role as a leading inventor in the field. His ability to devise innovative solutions for complex problems not only reflects his extensive knowledge but also his commitment to advancing technology for future generations.

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