Pittsburgh, PA, United States of America

Devin T Willmott

USPTO Granted Patents = 14 (Patent Applications = 17)

Average Co-Inventor Count = 4.6

ph-index = 1

Forward Citations = 2(Granted Patents)

Company Filing History:

Carnegie Mellon University

patents

where one patent can have more than one assignee

Years Active: 2021-2025

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14 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12464018 - System and method for high-resolution blackbox patch attack with Bayesian optimization (2025-11-04),

2. 12462552 - System and method for prompt searching (2025-11-04),

3. 12462159 - Methods and systems for training a machine learning model with measurement data captured during manufacturing process (2025-11-04),

4. 12361569 - Deep equilibrium flow estimation (2025-07-15),

5. 12277696 - Data augmentation for domain generalization (2025-04-14),

6. 12026621 - Method and system for low-query black-box universal attacks (2024-07-02),

7. 12020166 - Meta-learned, evolution strategy black box optimization classifiers (2024-06-25),

8. 11922291 - Image processing via isotonic convolutional neural networks (2024-03-05),

9. 11610129 - System and method for multiscale deep equilibrium models (2023-03-21),

10. 11587237 - Image segmention via efficient semidefinate-programming based inference for binary and multi-class Markov Random Fields (2023-02-21),

11. 11526965 - Multiplicative filter network (2022-12-13),

12. 11494639 - Bayesian-optimization-based query-efficient black-box adversarial attacks (2022-11-08),

13. 11455374 - System and method for combining differentiable partial differential equation solvers and graph neural networks for fluid flow prediction (2022-09-27),

14. 11170141 - Graph transformer neural network force field for prediction of atomic forces and energies in molecular dynamic simulations (2021-11-09),

Title: The Innovative Mind of Devin T. Willmott

Introduction

Devin T. Willmott is a prominent inventor based in Pittsburgh, PA, known for his significant contributions to technology and machine learning. With a total of 14 patents to his name, he has made remarkable strides in the fields of computer science and manufacturing processes. His work focuses on enhancing the efficiency and effectiveness of machine learning models and image processing systems.

Latest Patents

One of Willmott's latest patents is a "System and method for prompt searching." This computer-implemented method involves receiving multiple input images and generating a visual matrix using an image encoder. The process includes selecting text prompts, sending them to a language model, and generating a candidate list of tokens. The method evaluates image-text similarity and outputs a final token based on the highest score associated with the prompts.

Another notable patent is for "Methods and systems for training a machine learning model with measurement data captured during the manufacturing process." This innovation involves receiving measurement data from sensors at various manufacturing stations. A time-series dynamics machine learning model encodes this data into a latent space, allowing for predictions based on the characteristics of manufactured parts.

Career Highlights

Throughout his career, Devin T. Willmott has worked with esteemed organizations such as Robert Bosch GmbH and Carnegie Mellon University. His experience in these institutions has allowed him to develop and refine his innovative ideas, contributing to advancements in technology and research.

Collaborations

Willmott has collaborated with notable individuals in his field, including Jeremy Zico Kolter and Filipe J. Cabrita Condessa. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Devin T. Willmott's contributions to the fields of machine learning and image processing are significant and impactful. His innovative patents and collaborations reflect his dedication to advancing technology and improving manufacturing processes. His work continues to inspire future generations of inventors and researchers.

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17 patents pending:

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