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For the Inventor, By the Inventor

Pittsburgh, PA, United States of America

Filipe J Cabrita Condessa

USPTO Granted Patents = 17 

Average Co-Inventor Count = 3.9

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:

goldMedal17 out of 29,302 
 
Robert Boschgmbh
 patents
silverMedal3 out of 1,123 
 
Carnegie Mellon University
 patents
where one patent can have more than one assignee

Years Active: 2022-2025

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17 patents (USPTO):Explore Patents
1. 12464018 - System and method for high-resolution blackbox patch attack with Bayesian optimization (2025-11-04),
2. 12462159 - Methods and systems for training a machine learning model with measurement data captured during manufacturing process (2025-11-04),
3. 12387402 - System and method for localized text to image generation for free via cross attention (2025-08-12),
4. 12387057 - System and method for utilizing weak learners on large language models (2025-08-12),
5. 12277696 - Data augmentation for domain generalization (2025-04-14),
6. 12210619 - Method and system for breaking backdoored classifiers through adversarial examples (2025-01-28),
7. 12175336 - System and method for utilizing perturbation in a multimodal environment (2024-12-24),
8. 12172670 - Performance of neural networks under distribution shift (2024-12-24),
9. 12118788 - Learning semantic segmentation models in the absence of a portion of class labels (2024-10-15),
10. 12026621 - Method and system for low-query black-box universal attacks (2024-07-02),
11. 11922291 - Image processing via isotonic convolutional neural networks (2024-03-05),
12. 11893709 - Image quantization using machine learning (2024-02-06),
13. 11893087 - Defending multimodal fusion models against single-source adversaries (2024-02-06),
14. 11651220 - Asymmetrical robustness for classification in adversarial environments (2023-05-16),
15. 11551084 - System and method of robust active learning method using noisy labels and domain adaptation (2023-01-10),

Title: Innovations of Filipe J Cabrita Condessa

Introduction

Filipe J Cabrita Condessa is an accomplished inventor based in Pittsburgh, PA. He holds a remarkable portfolio of 15 patents, showcasing his expertise in advanced technologies and innovative solutions. His work primarily focuses on the intersection of language models and image generation.

Latest Patents

Among his latest patents is a "System and method for localized text to image generation for free via cross attention." This method involves receiving text data that describes both an object and a scene, utilizing a model with cross-attention layers to generate a prompt. The process includes generating a location mask and a cross-attention map to output a final image. Another significant patent is the "System and method for utilizing weak learners on large language models." This computer-implemented method converts tabular data into a text representation and utilizes a large language model to generate natural language descriptions and predictions based on queries.

Career Highlights

Filipe has worked with notable organizations such as Robert Bosch GmbH and Carnegie Mellon University. His experience in these institutions has contributed significantly to his development as an inventor and researcher in the field of technology.

Collaborations

Filipe has collaborated with talented individuals, including Jeremy Zico Kolter and Wan-Yi Lin. These partnerships have fostered innovation and creativity in his projects.

Conclusion

Filipe J Cabrita Condessa is a prominent figure in the realm of innovation, with a strong focus on language models and image generation. His contributions through patents and collaborations continue to influence the technological landscape.

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