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For the Inventor, By the Inventor

San Jose, CA, United States of America

Prithviraj Sen

LinkedIn
USPTO Granted Patents = 18 

Average Co-Inventor Count = 4.4

ph-index = 4

Forward Citations = 33(Granted Patents)


Company Filing History:

goldMedal18 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2016-2025

where 'Filed Patents' based on already Granted Patents

18 patents (USPTO):
1. 12266077 - Deep learning of entity resolution rules (2025-04-01),
2. 12197861 - Learning rules and dictionaries with neuro-symbolic artificial intelligence (2025-01-14),
3. 12050980 - Forecasting in multivariate irregularly sampled time series with missing values (2024-07-30),
4. 12039002 - Predicting multivariate time series with systematic and random missing values (2024-07-16),
5. 11989515 - Adjusting explainable rules using an exploration framework (2024-05-21),
6. 11900070 - Producing explainable rules via deep learning (2024-02-13),
7. 11875131 - Zero-shot cross-lingual transfer learning (2024-01-16),
8. 11829496 - Workflow for evaluating quality of artificial intelligence (AI) services using held-out data (2023-11-28),
9. 11650970 - Extracting structure and semantics from tabular data (2023-05-16),
10. 11645525 - Natural language explanation for classifier predictions (2023-05-09),
11. 11501111 - Learning models for entity resolution using active learning (2022-11-15),
12. 11429816 - Workflow for evaluating quality of artificial intelligence (AI) services using held-out data (2022-08-30),
13. 11200413 - Table recognition in portable document format documents (2021-12-14),
14. 10776269 - Two level compute memoing for large scale entity resolution (2020-09-15),
15. 10289963 - Unified text analytics annotator development life cycle combining rule-based and machine learning based techniques (2019-05-14),

Title: Innovations by Prithviraj Sen: Advancements in Entity Resolution and Artificial Intelligence

Introduction

Prithviraj Sen, based in San Jose, CA, has made significant contributions to the field of technology with a remarkable portfolio of 18 patents. His innovative work primarily focuses on advanced methodologies in deep learning and artificial intelligence, particularly in the area of entity resolution.

Latest Patents

Two of his latest patents exemplify his pioneering efforts in this domain. The first patent, titled "Deep learning of entity resolution rules," introduces a comprehensive method, system, and computer program that facilitates the learning of entity resolution rules to determine whether entities are matching. This methodology encompasses receiving historical pairs of entities, formulating a set of rules, and utilizing a deep neural network to create an entity resolution model. The model is designed to apply these rules to new pairs of entities, effectively categorizing them as matching or not matching.

The second patent, "Learning rules and dictionaries with neuro-symbolic artificial intelligence," presents an innovative system for jointly learning dictionary-based rules and dictionary candidates. This patent details a process where natural language text is parsed to identify verbs which are then evaluated against a dictionary and corresponding rules. A neural network is employed to modify these rules and dictionaries based on the evaluation, showcasing the integration of natural language processing with machine learning.

Career Highlights

Prithviraj Sen's career is marked by his affiliation with the International Business Machines Corporation (IBM), where he has played a critical role in research and development. His patents not only reflect his technical expertise but also highlight his commitment to advancing AI technologies. Through his work, he demonstrates a keen understanding of the challenges in entity resolution and machine learning, paving the way for future innovations.

Collaborations

Throughout his career, Prithviraj has collaborated with notable coworkers, including Shivakumar Vaithyanathan and Yunyao Li. These collaborations have undoubtedly enriched his research endeavors, fostering an environment of creativity and intellectual exchange that drives innovation.

Conclusion

Prithviraj Sen exemplifies the spirit of innovation through his contributions to the fields of deep learning and artificial intelligence. With a robust portfolio of patents, he continues to influence the landscape of technology, demonstrating how effective research and collaboration can lead to groundbreaking advancements. His work at IBM not only enhances our understanding of entity resolution but also fuels the ongoing evolution of AI methodologies.

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